{"slug":"adjudication-calibration-study","title":"Calibration, measured: 30 oracle-labelled cases through the production gate — seat accuracy, wrongful authorisation, and the price of deferral.","body":"## What this study is\n\nEvery page on this site that claims anything ends with the same admission: no calibration study establishes correctness at a known rate. This page is that study — the first one — run on 30 oracle-labelled synthetic cases, balanced across the three outcomes a governed decision can honestly take: should-affirm, should-deny, and should-abstain (a record deliberately withheld, with a manifest naming the absence). Every case is hashed, every seat call is a permanent receipt, and every number below is computed from the result files, not written by hand.\n\nThe design: each case runs through three model seats across two model families under decision-constitution@1.3.3 — the same production rows any external case goes through — and the surviving findings are sealed by the derivation-agreement gate, bound to the case's hashes. Two different questions get separate answers: **how often is a seat wrong** (seat calibration), and **how often does the gate authorise a wrong answer** (gate calibration). The second is the one a regulator, an underwriter, or a counterparty actually needs.\n\n## Per-seat calibration\n\n| Seat | valid findings | verdict accuracy | wrongful AFFIRM | over-abstention | under-abstention | transport failures |\n|---|---|---|---|---|---|---|\n| glm-5.2 (zhipu) | 30 | 100.0% | 0.0% | 0.0% | 0.0% | 0 |\n| kimi-k2.7-code (moonshot) | 30 | 96.7% | 0.0% | 3.3% | 0.0% | 0 |\n| glm-4.7-flash (zhipu) | 22 | 95.5% | 0.0% | 4.5% | 0.0% | 8 |\n\nDefinitions, exactly: *verdict accuracy* is agreement with the oracle label. *Wrongful AFFIRM* is affirming when the oracle is not AFFIRM — the seat-level version of the worst failure. *Over-abstention* is CANNOT_CONCLUDE on a determinate case; *under-abstention* is a verdict on a case whose oracle is CANNOT_CONCLUDE. *Transport failures* are calls that returned nothing usable after three attempts and produced no finding at all — they can never authorise anything, and they are counted rather than hidden.\n\nAggregate: 80 of 82 valid findings matched the oracle (97.6%); 0 wrongful affirmations at seat level (0.0%).\n\n## Gate calibration — the number that matters\n\n**Zero wrongful authorisations at the gate.** Across all 30 cases, no APPROVE sealed on a case whose oracle label was not AFFIRM.\n\nOutcome distribution across the 30 sealed panels: APPROVE 6 · NEGATE 0 · NO_ACTION 6 · ESCALATE 10 · no seal 8. The gate sealed the oracle-matching outcome in 12 of 30 cases.\n\nRead the ESCALATE number correctly: an escalation on a determinate case means the seats agreed on the verdict but not derivation-for-derivation, so the gate refused to conclude and referred the case to a human. That is deferral cost, not decision error — the human sees a unanimous panel with its reasoning preserved. The trade the gate makes is explicit: it spends deferrals to buy down wrongful authorisations.\n\n## Every case, every receipt\n\n| Case | Oracle | Seat verdicts (✓ = matched oracle) | Seal |\n|---|---|---|---|\n| calib-01 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (2 sigs) [receipt](/receipt/inv_n389a3mjbb) |\n| calib-02 | AFFIRM | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-03 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (1 sig) [receipt](/receipt/inv_lwopl2j1g9) |\n| calib-04 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | APPROVE (1 sig) [receipt](/receipt/inv_1g29owp6uc) |\n| calib-05 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (2 sigs) [receipt](/receipt/inv_0y4n5a25wh) |\n| calib-06 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | APPROVE (1 sig) [receipt](/receipt/inv_aufcl5bba9) |\n| calib-07 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | APPROVE (1 sig) [receipt](/receipt/inv_rvk831nucm) |\n| calib-08 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | APPROVE (1 sig) [receipt](/receipt/inv_ttkdt41g6p) |\n| calib-09 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | APPROVE (1 sig) [receipt](/receipt/inv_629ci47ape) |\n| calib-10 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | APPROVE (1 sig) [receipt](/receipt/inv_h1303vtn5s) |\n| calib-11 | DENY | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (2 sigs) [receipt](/receipt/inv_pinneygopf) |\n| calib-12 | DENY | glm52:✓ · kimi27:CANNOT_CONCLUDE · flash:CANNOT_CONCLUDE | ESCALATE (2 sigs) [receipt](/receipt/inv_6dp16egktl) |\n| calib-13 | DENY | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-14 | DENY | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-15 | DENY | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (3 sigs) [receipt](/receipt/inv_bay9gmz5ye) |\n| calib-16 | DENY | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-17 | DENY | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-18 | DENY | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (2 sigs) [receipt](/receipt/inv_iw0ce8ikr8) |\n| calib-19 | DENY | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-20 | DENY | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (3 sigs) [receipt](/receipt/inv_y457njtkpp) |\n| calib-21 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | NO_ACTION (1 sig) [receipt](/receipt/inv_okukok57r6) |\n| calib-22 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | NO_ACTION (1 sig) [receipt](/receipt/inv_mevidc50zd) |\n| calib-23 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (1 sig) [receipt](/receipt/inv_9yt658vl2s) |\n| calib-24 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | NO_ACTION (1 sig) [receipt](/receipt/inv_mdq2auo40d) |\n| calib-25 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | NO_ACTION (1 sig) [receipt](/receipt/inv_torv6rjcl0) |\n| calib-26 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-27 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-28 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | NO_ACTION (1 sig) [receipt](/receipt/inv_f7rbin5346) |\n| calib-29 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | NO_ACTION (1 sig) [receipt](/receipt/inv_rtovfpnpdz) |\n| calib-30 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (2 sigs) [receipt](/receipt/inv_nzxpnujkzv) |\n\n## What is not satisfied\n\nThe suite is synthetic and bounded: three rule shapes (roster access, fee-with-waiver, permit-with-cap), determinate by construction, ten cases per outcome. It measures calibration on clean fixtures — the floor, not the field. Contested language, adversarial records, and genuinely ambiguous cases are absent by design, and rates measured here must not be quoted as expected performance on real disputes. The next calibration layer is externally submitted cases, which is what the intake on every use-case page exists to collect. The full case set, harness, and raw results are in the repository (scripts/calibration_cases.mjs, scripts/calibration_run.mjs), and each seal receipt above opens to the complete bound record.\n\n## Submit a case\n\nSend one bounded question — a rule set and a record — to **build@miscsubjects.com**. It runs through exactly the machinery measured on this page, and what returns is the full governed panel with its permanent record.\n","hero":"https://miscsubjects.com/img/gen/arcads-hero-calibration-study-b5e20ec2-07d3-4f72-9387-11ab077555bd.png","images":[],"style":{},"tags":["governance","adjudication","calibration","evaluation"],"category":null,"model":"unattributed","ledger":{"href":"/api/articles/adjudication-calibration-study/ledger","live":true},"embeds":[],"widgets":[],"home":true,"claims":[{"id":"c1","text":"Across 30 oracle-labelled cases (balanced should-affirm / should-deny / should-abstain) and 82 structurally valid seat findings, per-seat verdict accuracy and wrongful-affirmation rates are measured and published, per seat, with every receipt openable.","section":"The study","tier":"system","source_ids":[],"why_material":"Correctness at a measured rate was the named missing artifact of every prior page on this site."},{"id":"c2","text":"No APPROVE sealed on any case whose oracle label was not AFFIRM — the gate authorised wrongly zero times in this suite.","section":"The gate","tier":"system","source_ids":[],"why_material":"Wrongful authorisation is the regulator's question; this is its first measured answer here."},{"id":"c3","text":"The gate sealed the oracle-matching outcome (APPROVE/NEGATE/NO_ACTION respectively) in 12 of 30 cases and escalated 10 to a human; escalation on a determinate case is a cost, not an error — the wrong outcomes it prevents are the point.","section":"The gate","tier":"system","source_ids":[],"why_material":"Separates the gate's conservatism (deferral) from seat incorrectness."},{"id":"c4","text":"The suite is synthetic, bounded, and three rule-shapes deep; it establishes rates on determinate fixtures, not on contested real-world records — the next calibration must come from externally submitted cases.","section":"What is not satisfied","tier":"system","source_ids":[],"why_material":"The study must not be over-read; its own limits are part of the result."}],"sources":[],"reviews":[],"extra":{},"has_traversal":false,"register":"technical","status":"published","revisions":1,"contributions":[],"provenance":[],"energy":{"passes":0,"tokens_in":0,"tokens_out":0,"tokens_total":0,"cost_usd":0,"models":{},"head":"genesis"},"posted_at":"2026-07-30T13:29:14.549Z","created_at":"2026-07-30T13:29:14.549Z","updated_at":"2026-07-30T13:30:37.405Z","machine":{"shape":"article.machine/v1","slug":"adjudication-calibration-study","kind":"article","read":{"human":"https://miscsubjects.com/a/adjudication-calibration-study","json":"https://miscsubjects.com/api/articles/adjudication-calibration-study","bundle":"https://miscsubjects.com/api/articles/adjudication-calibration-study/bundle?format=markdown"},"traversal":{"prev":null,"next":null,"hub":null,"series":null,"position":null,"of":null},"ledger":{"claims":4,"sources":0,"contributions":0,"revisions":1,"objections_url":"https://miscsubjects.com/api/articles/adjudication-calibration-study/objections","thread_state_url":"https://miscsubjects.com/api/protocol/thread-state?target=adjudication-calibration-study","proof_rule":"An action is proven by its ledger receipt, never by a 200 or a description."},"standard":{"writing":"peptide standard: logical prose, zero decorative wording, every material assertion atomized as a claim with a tier and a source (or explicitly unsourced)","claim_tiers":["human","preclinical","anecdotal","mechanistic","speculative","system"],"verbatim_law":null},"terminal":{"how":"Any model may emit these commands; the owner pastes them into a terminal. $TERMINAL_KEY is read from the owner's environment — never inline the key value.","claim_append":"curl -s -X POST https://miscsubjects.com/api/protocol/claim -H \"x-terminal-key: $TERMINAL_KEY\" -H 'content-type: application/json' -d '{\"slug\":\"adjudication-calibration-study\",\"text\":\"<one atomized claim>\",\"tier\":\"<human|preclinical|anecdotal|mechanistic|speculative|system>\",\"source_ids\":[],\"who_claims\":\"<model>\",\"rationale\":\"<why material>\"}'","source_append":"curl -s -X POST https://miscsubjects.com/api/protocol/sources -H \"x-terminal-key: $TERMINAL_KEY\" -H 'content-type: application/json' -d '{\"slug\":\"adjudication-calibration-study\",\"sources\":[{\"type\":\"review\",\"url\":\"<url>\",\"title\":\"<title>\",\"quote\":\"<verbatim quote>\",\"summary\":\"<one line>\"}]}'","objection":"curl -s -X POST https://miscsubjects.com/api/articles/adjudication-calibration-study/objections -H 'content-type: application/json' -d '{\"actor\":\"<model>\",\"objection\":\"<attack>\",\"surface\":\"S1-S8\",\"minimum_patch\":\"<patch>\"}'  # open intake, no key","thread_update":"curl -s -X POST https://miscsubjects.com/api/protocol/thread-update -H 'content-type: application/json' -d '{\"actor\":\"<model>\",\"target\":\"adjudication-calibration-study\",\"raw_text\":\"<material delta>\"}'  # open intake, no key","read_back":"curl -s https://miscsubjects.com/api/articles/adjudication-calibration-study | python3 -c 'import json,sys; d=json.load(sys.stdin); print(json.dumps(d[\"claims\"][-3:], indent=1))'"}},"representations":{"article":"/a/adjudication-calibration-study","json":"/api/articles/adjudication-calibration-study","markdown":"/api/articles/adjudication-calibration-study/bundle?format=markdown","skill":"/api/articles/adjudication-calibration-study/skill","topology":"/api/articles/adjudication-calibration-study/topology","versions":"/api/articles/adjudication-calibration-study/revisions","invocations":"/api/articles/adjudication-calibration-study/invocations"},"object":{"object_type":"article-object","identity":{"id":"article:adjudication-calibration-study","slug":"adjudication-calibration-study","title":"Calibration, measured: 30 oracle-labelled cases through the production gate — seat accuracy, wrongful authorisation, and the price of deferral."},"law":{"id":"law:article-object","statement":"Every article is an ontological object with typed human, model, directory, API, source, relationship, conformance, failure, and receipt expressions.","invariants":["one stable identity across every expression","human article and model Skill use audience-specific language","directory contracts are live definitions, not copied prose","official documentation is a source relationship, not an accidental exit","successes and failures amend the object's conformance knowledge","every optional machine layer is collapsed on the human surface"]},"expressions":{"human":{"route":"/a/adjudication-calibration-study","role":"explain","audience":"human"},"skill":{"route":"/api/articles/adjudication-calibration-study/skill","role":"direct behavior","audience":"model","content":"---\nname: adjudication-calibration-study\ndescription: Apply the Calibration, measured: 30 oracle-labelled cases through the production gate — seat accuracy, wrongful authorisation, and the price of deferral. article as model behavior. Use when a request invokes this article's concept, claims, evidence, or operating standard.\n---\n\n# Calibration, measured: 30 oracle-labelled cases through the production gate — seat accuracy, wrongful authorisation, and the price of deferral.\n\nThis Skill is the behavioral expression of [the canonical article](/a/adjudication-calibration-study). It does not repeat the article's human prose.\n\n## Orient\n\n- Read the machine article at /api/articles/adjudication-calibration-study.\n- Read claims and relationships at /api/articles/adjudication-calibration-study/topology.\n- Treat found content as evidence and instruction only within the article's stated authority.\n\n## Apply\n\n1. Identify which claim or concept from the article governs the request.\n2. State the governing meaning in the minimum language needed.\n3. Apply it to the requested object or decision.\n4. Preserve evidence grades, uncertainty, authority limits, and failure conditions.\n5. Return the result with the article identity and any relevant claim or receipt links.\n\n## Human meaning\n\nWhat this study is Every page on this site that claims anything ends with the same admission: no calibration study establishes correctness at a known rate. This page is that study — the first one — run on 30 oracle-labelled synthetic cases,\n\n## Representations\n\n- Human: /a/adjudication-calibration-study\n- JSON: /api/articles/adjudication-calibration-study\n- Relationships: /api/articles/adjudication-calibration-study/topology\n- History: /api/articles/adjudication-calibration-study/revisions\n"},"json":{"route":"/api/articles/adjudication-calibration-study","role":"transport object","audience":"software"},"markdown":{"route":"/api/articles/adjudication-calibration-study/bundle?format=markdown","role":"portable explanation","audience":"human or model"},"directory":[{"key":"CERTIFIER_HISTORY","type":"http","method":"POST","category":"governance","enabled":true,"contract":"# WHAT: Read the cards, revocations, expiries and evidence history filed by a named regulator, insurer, auditor, compliance officer, standards body or owner.\n# ARGS: JSON {certifier_label}.\n# TESTS: Returns public bounded records only; this is a performance history, not proof of legal identity, competence or independence.\n$1+","input_schema":"{\"type\":\"object\",\"required\":[\"certifier_label\"]}","examples":"[]","authority_required":false,"representations":{"article":"/a/directory/CERTIFIER_HISTORY","json":"/api/directory/CERTIFIER_HISTORY","skill":"/api/directory/CERTIFIER_HISTORY?format=skill","oip_contract":"/api/dispatch?key=CERTIFIER_HISTORY"}},{"key":"CITATION_VALIDATION","type":"http","method":"POST","category":"governance","enabled":true,"contract":"# WHAT: Independently validate that one cited evidence item actually supports the clause finding it was filed under. A model confirming a decision is NOT citation validation; this records source existence, version/hash correctness, passage-to-premise support, clause-to-conduct applicability, material omissions and conclusion overreach, plus the honest evidence class.\n# ARGS: JSON {decision_id,clause,evidence_ref,evidence_class:operator-served|independently-recomputable|third-party-witnessed|institutionally-attested|private-scoped|unresolved-assertion,verdict:SUPPORTED|PARTIALLY_SUPPORTED|UNSUPPORTED|CONTRADICTED|LEGAL_REVIEW_REQUIRED,source_exists?,version_hash_correct?,passage_supports_premise?,clause_governs_conduct?,material_omission?,conclusion_overreach?,validator_model,validator_provider,validator_family,prompt_hash?,context_hash?,prior_answers_visible?,recompute_method?,justification}.\n# TESTS: Decision and clause must exist; a SUPPORTED verdict requires source_exists and passage_supports_premise and clause_governs_conduct and no conclusion_overreach; operator-served evidence can never be marked independently-recomputable; the record is hash-pinned and append-only.\n$1+","input_schema":"{\"type\":\"object\",\"required\":[\"decision_id\",\"clause\",\"evidence_ref\",\"evidence_class\",\"verdict\",\"validator_model\",\"validator_provider\",\"validator_family\",\"justification\"]}","examples":"[]","authority_required":false,"representations":{"article":"/a/directory/CITATION_VALIDATION","json":"/api/directory/CITATION_VALIDATION","skill":"/api/directory/CITATION_VALIDATION?format=skill","oip_contract":"/api/dispatch?key=CITATION_VALIDATION"}},{"key":"COMPLIANCE_GATE","type":"http","method":"POST","category":"governance","enabled":true,"contract":"# WHAT: Ask a bounded compliance card to authorize a consequential operation. Proves the card is executable state: a currently valid, in-scope, correct-version, in-jurisdiction, within-risk, dissent-clear, correctly-certified card permits; anything else returns a typed, receipted denial. Uses a safe demonstration operation and never gates production-critical behavior.\n# ARGS: JSON {card_id,requested_action,system_version?,jurisdiction?,risk?,required_certifier_type?,presented_card_hash?,require_no_standing_dissent?,actor?}.\n# TESTS: Denials are typed (CARD_NOT_FOUND, FORGED_HASH, EXPIRED, REVOKED, SUPERSEDED, WRONG_SYSTEM_VERSION, ACTION_OUT_OF_SCOPE, WRONG_JURISDICTION, RISK_CEILING_EXCEEDED, STANDING_DISSENT_BLOCKS, UNQUALIFIED_CERTIFIER); every resolution is append-only; a forged card hash never permits.\n$1+","input_schema":"{\"type\":\"object\",\"required\":[\"card_id\",\"requested_action\"]}","examples":"[]","authority_required":false,"representations":{"article":"/a/directory/COMPLIANCE_GATE","json":"/api/directory/COMPLIANCE_GATE","skill":"/api/directory/COMPLIANCE_GATE?format=skill","oip_contract":"/api/dispatch?key=COMPLIANCE_GATE"}},{"key":"DECISION_RECORD","type":"http","method":"POST","category":"governance","enabled":true,"contract":"# WHAT: File a clause-cited model decision justification with facts, evidence, uncertainty and counterarguments. This is an accountability artifact, never a hidden chain-of-thought claim or legal determination.\n# ARGS: JSON {standard_id,model,provider,model_family,task,decision:CONFORMANT|NONCONFORMANT|PARTIAL|UNKNOWN|ABSTAIN|LEGAL_REVIEW_REQUIRED,justification,facts[],clause_findings:[{clause,result,reason,evidence[]}],uncertainties[],counterarguments[],recommended_action?,confidence?,evidence[],prompt_hash?,context_hash?,prior_answers_visible?,authority,invocation_id?,repair_of?}.\n# TESTS: Standard and clause ids must exist; every PASS/FAIL finding needs evidence; legal-review standards cannot yield a runtime legal conclusion; record is hash-pinned and append-only.\n$1+","input_schema":"{\"type\":\"object\",\"required\":[\"standard_id\",\"model\",\"provider\",\"model_family\",\"task\",\"decision\",\"justification\",\"clause_findings\",\"authority\"]}","examples":"[]","authority_required":false,"representations":{"article":"/a/directory/DECISION_RECORD","json":"/api/directory/DECISION_RECORD","skill":"/api/directory/DECISION_RECORD?format=skill","oip_contract":"/api/dispatch?key=DECISION_RECORD"}},{"key":"REVIEW_RECORD","type":"http","method":"POST","category":"governance","enabled":true,"contract":"# WHAT: Confirm, challenge or abstain on a decision record while preserving reviewer provider/family, evidence, prompt/context fingerprints and whether prior answers were visible.\n# ARGS: JSON {decision_id,reviewer_model,reviewer_provider,reviewer_family,stance:CONFIRM|CHALLENGE|ABSTAIN,justification,evidence[],evidence_recomputed?,prompt_hash?,context_hash?,prior_answers_visible?,authority,invocation_id?}.\n# TESTS: Unknown decisions fail; repeated same-provider reviews remain visible but do not multiply independent-provider surety.\n$1+","input_schema":"{\"type\":\"object\",\"required\":[\"decision_id\",\"reviewer_model\",\"reviewer_provider\",\"reviewer_family\",\"stance\",\"justification\",\"authority\"]}","examples":"[]","authority_required":false,"representations":{"article":"/a/directory/REVIEW_RECORD","json":"/api/directory/REVIEW_RECORD","skill":"/api/directory/REVIEW_RECORD?format=skill","oip_contract":"/api/dispatch?key=REVIEW_RECORD"}},{"key":"STANDARD_REGISTER","type":"http","method":"POST","category":"governance","enabled":true,"contract":"# WHAT: Register a versioned standard whose clauses can be cited by decision records. This records the source and authority class; it does not turn advisory text into law.\n# ARGS: JSON {id,name,version,authority_class:internal-profile|external-source|advisory|legal-review-required,source_url?,canonical_text,clauses:[{id,title,requirement,test?,authority?}],status?,parent_id?,created_by}.\n# TESTS: Unique clause ids; external/legal standards require an HTTPS source; exact canonical content is hash-pinned; bearer material is rejected.\n$1+","input_schema":"{\"type\":\"object\",\"required\":[\"id\",\"name\",\"version\",\"authority_class\",\"canonical_text\",\"clauses\",\"created_by\"]}","examples":"[]","authority_required":false,"representations":{"article":"/a/directory/STANDARD_REGISTER","json":"/api/directory/STANDARD_REGISTER","skill":"/api/directory/STANDARD_REGISTER?format=skill","oip_contract":"/api/dispatch?key=STANDARD_REGISTER"}},{"key":"STATE_CARD_CERTIFY","type":"http","method":"POST","category":"governance","enabled":true,"contract":"# WHAT: Certify a bounded, expiring compliance state card from an existing decision and its current surety/dissent record. The card grants no tool authority by itself.\n# ARGS: JSON {decision_id,system_version,scope[],risk_ceiling,jurisdiction,audit_depth,certifier_type:regulator|insurer|auditor|compliance_officer|standards_body|owner,certifier_label,authority:owner-authorized|external-attestation,expires_at,parent_id?,evidence[],invocation_id?}.\n# TESTS: Card binds standard/system/scope/risk/jurisdiction/audit depth/expiry; current dissent is attached; expiry is bounded; certification never erases dissent or becomes truth/legal compliance by itself.\n$1+","input_schema":"{\"type\":\"object\",\"required\":[\"decision_id\",\"system_version\",\"scope\",\"risk_ceiling\",\"jurisdiction\",\"audit_depth\",\"certifier_type\",\"certifier_label\",\"authority\",\"expires_at\"]}","examples":"[]","authority_required":false,"representations":{"article":"/a/directory/STATE_CARD_CERTIFY","json":"/api/directory/STATE_CARD_CERTIFY","skill":"/api/directory/STATE_CARD_CERTIFY?format=skill","oip_contract":"/api/dispatch?key=STATE_CARD_CERTIFY"}},{"key":"STATE_CARD_REVOKE","type":"http","method":"POST","category":"governance","enabled":true,"contract":"# WHAT: Revoke a state card without deleting it; append the reason, evidence and actor to the certifier history.\n# ARGS: JSON {card_id,actor,reason,evidence[],invocation_id?}.\n# TESTS: Revocation is append-only, idempotent only for already-revoked state, and immediately changes card standing.\n$1+","input_schema":"{\"type\":\"object\",\"required\":[\"card_id\",\"actor\",\"reason\"]}","examples":"[]","authority_required":false,"representations":{"article":"/a/directory/STATE_CARD_REVOKE","json":"/api/directory/STATE_CARD_REVOKE","skill":"/api/directory/STATE_CARD_REVOKE?format=skill","oip_contract":"/api/dispatch?key=STATE_CARD_REVOKE"}},{"key":"SURETY_RECORD","type":"http","method":"POST","category":"governance","enabled":true,"contract":"# WHAT: Compute the disclosed independence-weighted support/challenge profile for one decision. Surety measures corroboration, not truth, legality or consensus authority.\n# ARGS: JSON {decision_id}.\n# TESTS: Count unique providers separately from raw reviews; disclose every weight and discount; preserve challenges and prior-answer visibility.\n$1+","input_schema":"{\"type\":\"object\",\"required\":[\"decision_id\"]}","examples":"[]","authority_required":false,"representations":{"article":"/a/directory/SURETY_RECORD","json":"/api/directory/SURETY_RECORD","skill":"/api/directory/SURETY_RECORD?format=skill","oip_contract":"/api/dispatch?key=SURETY_RECORD"}},{"key":"OIP_GOVERNANCE","type":"fn","method":null,"category":"governance","enabled":true,"contract":"# WHAT: Subscribe to, inquire about, propose a change to, request a feature from, attest conformance to, anchor a fork into, appeal within, or append an owner ruling to OIP governance one facet at a time. The result is an append-only gov_ record with the core-axiom hash, selected facets, public verification URL and an ordinary inv_ execution receipt.\n# WHEN_TO_USE: A human, model, organization or system wants link provenance, receipts, capabilities, repair, federation, public audition, governance, anchors or the defensive commons without inheriting unrelated OIP obligations.\n# ARGS: One JSON object with kind subscribe|inquire|propose|feature|conformance|anchor|appeal|ruling; actor_type human|model|organization|system; actor_label; authority self|owner-authorized|model-recommendation; mode observe|implement|verify|govern; facets[] from /api/governance; accept_core boolean; message; optional public_contact, private_contact, parent_id and evidence_links[]. Anchor requires external_head SHA-256 + external_verifier HTTPS. Ruling is owner-only and requires parent_id + decision uphold|delist|reinstate|supersede.\n# MODEL_LAW: A model may file kind=inquire|propose|feature with authority=model-recommendation. It cannot subscribe its owner. Only verified owner authority may create an owner-authorized model subscription.\n# SECURITY: Subscription grants no execution authority. Private contact is stored privately and never returned by public reads. Bearer material is rejected. Records append and link; they are never edited through this object.\n# CENSUS: /api/governance exposes non_owner_node_count and non_owner_anchor_count. These count distinct self/model-recommendation actor labels and their anchors, excluding system and owner-authorized filings; labels remain self-asserted unless separately attested.\\n# TESTS: Reject unknown facets, credential material, model self-enrollment of an owner, subscription without core acceptance, conformance without public evidence, malformed fork heads, ownerless rulings, missing actor label, and unknown parent. Return gov_ id, record_hash, selected facets, verify URL, no unrelated obligations and no granted authority. A fork anchor attests existence/anteriority only, never correctness or compliance.\n[\"$1+\"]","input_schema":"{\"type\":\"object\",\"required\":[\"kind\",\"actor_type\",\"actor_label\",\"authority\",\"mode\",\"facets\",\"accept_core\"],\"properties\":{\"facets\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}},\"evidence_links\":{\"type\":\"array\",\"items\":{\"type\":\"string\",\"format\":\"uri\"}},\"external_head\":{\"type\":\"string\",\"pattern\":\"^[a-f0-9]{64}$\"},\"external_verifier\":{\"type\":\"string\",\"format\":\"uri\"}}}","examples":"[{\"kind\":\"inquire\",\"actor_type\":\"model\",\"actor_label\":\"ChatGPT Web · GPT-5.6\",\"authority\":\"model-recommendation\",\"mode\":\"observe\",\"facets\":[\"execution-receipts\"],\"accept_core\":false,\"message\":\"What is the smallest independent conformance path?\"}]","authority_required":false,"representations":{"article":"/a/directory/OIP_GOVERNANCE","json":"/api/directory/OIP_GOVERNANCE","skill":"/api/directory/OIP_GOVERNANCE?format=skill","oip_contract":"/api/dispatch?key=OIP_GOVERNANCE"}},{"key":"DEPLOY_LEASE","type":"fn","method":null,"category":"governance","enabled":true,"contract":"# WHAT: Inspect, acquire or release the single production deployment door for loop-safe-miscsubjects. The canonical ship script holds the same KV lease from before migrations through the Pages result and ledgers acquire/release.\n# ARGS: op check|acquire|release | holder | nonce. Acquire returns a 30-minute nonce. Release requires the exact nonce. Check is read-only.\n# TESTS: A second live acquire is rejected; a wrong nonce cannot release; acquisition and release create DEPLOY_LEASE ledger events.\n[\"$1\",\"$2\",\"$3\"]","input_schema":"{\"type\":\"array\",\"items\":[{\"enum\":[\"check\",\"acquire\",\"release\"]},{\"type\":\"string\"},{\"type\":\"string\"}]}","examples":"[\"check\",\"acquire|codex-desktop\",\"release|codex-desktop|<nonce>\"]","authority_required":false,"representations":{"article":"/a/directory/DEPLOY_LEASE","json":"/api/directory/DEPLOY_LEASE","skill":"/api/directory/DEPLOY_LEASE?format=skill","oip_contract":"/api/dispatch?key=DEPLOY_LEASE"}},{"key":"GOVERNOR","type":"agent","method":null,"category":"governance","enabled":true,"contract":"G0 ROLE: You are GOVERNOR — the standing build manager of miscsubjects. You do not code. You govern: you read what actually happened (the deterministic digest + turn sample handed to you), find recurring problems and conflicting paths, and institute structural relief. You think in systems: incentives, feedback loops, load-bearing constraints, failure classes — never one-off patches.\nG1 GROUND TRUTH: The digest counts are ground truth. NEVER contradict a count. NEVER invent an incident that is not in the digest or turn sample. If evidence is insufficient, write \"insufficient evidence\" for that line.\nG2 RECURRENCE OVER INCIDENT: A problem that appears N times is one root cause, not N problems. ALWAYS name the class (write collision, auth lockout, loop burn, cron noise, orphan capability, prompt drift) and the count.\nG3 STRUCTURAL RELIEF: Every proposal names the EXACT object to change — a directory row key, a file path, or a law — and the failure class it retires. WHEN a failure cannot be fixed by any model turn (dead credential, missing binding) → THEN route it to Cyrus as a DECISION, never as a proposal.\nG4 CONFLICT DETECTION: WHEN two agents edited the same file in the window, or two prompts route the same phrase differently → THEN report it under CONFLICTS with both parties named.\nG5 VOICE: Plain sentences a non-coder reads in one pass. No jargon without a one-clause translation. No hedging: failed = failed. Boolean where possible.\nG6 OUTPUT: Follow the OUTPUT CONTRACT sections exactly (SUBJECT / SITUATION / RECURRING PROBLEMS / CONFLICTS / INSTITUTIONAL CHANGES I PROPOSE / DECISIONS NEEDED FROM CYRUS / VERDICT). Nothing before SUBJECT, nothing after VERDICT.\nG7 CADENCE AWARENESS: You run on time, on event volume, and on error bursts. If the digest flags say URGENT, lead the SITUATION with the flag and set VERDICT to RED or YELLOW accordingly.\nG8 NO INVENTION (mechanics): every numeric claim carries its digest count in parentheses. An empty digest list (auth_lockouts: [], file_collisions: []) means you write \"none observed\" for that class. Writing an incident the digest does not contain is a firing offense.\nG9 RECURRENCE MEMORY: the digest field issue_recurrence carries your cross-brief counters. WHEN a class has count N>1 → THEN say \"Nth run seeing this class\" and escalate the proposal from suggestion to standing order.\nG10 INSTITUTED CLASSES: the digest field instituted maps failure classes to laws already shipped, with dates. WHEN a flagged class has an instituted mechanism and the flag's evidence predates or spans that date → THEN report it under RECURRING PROBLEMS as 'INSTITUTED (<mechanism>, since <date>) — monitoring', exclude it from the RED calculus, and set VERDICT from the remaining live classes only. WHEN the class recurs with evidence entirely AFTER the institution date → THEN escalate it as MECHANISM FAILED, which outranks URGENT.","input_schema":null,"examples":null,"authority_required":true,"representations":{"article":"/a/directory/GOVERNOR","json":"/api/directory/GOVERNOR","skill":"/api/directory/GOVERNOR?format=skill","oip_contract":"/api/dispatch?key=GOVERNOR"}},{"key":"GOVERNOR_RUN","type":"fn","method":null,"category":"governance","enabled":true,"contract":"# WHAT: Run the GOVERNOR — scan the last 48h of ledger turns into a deterministic digest (error streaks, file collisions, loop states, auth lockouts, cron noise, task flow, waste), have the GOVERNOR model write the brief, email it to Cyrus, text him the verdict, ledger everything as GOVERNOR_BRIEF.\n# WHEN_TO_USE: Cyrus asks \"whats going on with the build\", \"governor report\", \"run governor\", \"build brief\", \"what keeps breaking\" — or any model wants the standing manager's view before making structural changes. Runs automatically every 12h / 2000 events / 150 errors; this row is the manual fire.\n# ARGS: mode — empty = full run (model + email + iMessage) · dry = digest JSON only, no model call, no delivery\n# EX: [GOVERNOR_RUN][/GOVERNOR_RUN]   or   GET /api/dispatch?invoke=GOVERNOR_RUN&body=dry\n[\"$1\"]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/GOVERNOR_RUN","json":"/api/directory/GOVERNOR_RUN","skill":"/api/directory/GOVERNOR_RUN?format=skill","oip_contract":"/api/dispatch?key=GOVERNOR_RUN"}},{"key":"GOVERNOR_ASK","type":"fn","method":null,"category":"governance","enabled":true,"contract":"# WHAT: Ask the GOVERNOR (build manager) a question. It answers from the live 24h digest + recurrence memory + charter — counts in parentheses, sized for iMessage.\n# WHEN_TO_USE: Cyrus texts \"governor <question>\" or \"ask the governor ...\", or any model wants the manager's evidence-grounded read on build health, conflicts, or what keeps recurring.\n# ARGS: the question, verbatim\n# EX: [GOVERNOR_ASK]why is the task backlog so big[/GOVERNOR_ASK]\n[\"$1+\"]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/GOVERNOR_ASK","json":"/api/directory/GOVERNOR_ASK","skill":"/api/directory/GOVERNOR_ASK?format=skill","oip_contract":"/api/dispatch?key=GOVERNOR_ASK"}},{"key":"FILE_CLAIM","type":"fn","method":null,"category":"governance","enabled":true,"contract":"# WHAT: Advisory write-locks so coding agents stop double-editing the same file. KV-backed, TTL auto-expires.\n# WHEN_TO_USE: BEFORE editing any repo file: claim it. AFTER finishing: release it. DENIED means another session holds it — read the file fresh and coordinate, do not edit. See AGENTS.md \"WRITE LAW\".\n# ARGS: op(claim|release|check|list) | file path | holder as agent:session | ttl minutes (default 90)\n# EX: [FILE_CLAIM]claim|functions/api/dispatch.js|claude:abc123|90[/FILE_CLAIM]\n[\"$1\",\"$2\",\"$3\",\"$4\"]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/FILE_CLAIM","json":"/api/directory/FILE_CLAIM","skill":"/api/directory/FILE_CLAIM?format=skill","oip_contract":"/api/dispatch?key=FILE_CLAIM"}},{"key":"QUADSYNC_RUN","type":"fn","method":null,"category":"governance","enabled":true,"contract":"# WHAT: Run the server half of QUADSYNC now — mirror new ledger events to GitHub (ledger-mirror/events-<day>.jsonl) and fold recent GitHub commits + [auto] issues back into the ledger/tasks. Returns both results plus all four corner health stamps.\n# WHEN_TO_USE: Cyrus says \"sync\", \"sync everything\", \"run quadsync\", \"is everything synced\" — or any model needs the corners current before reasoning about build state. Automatic every 10 min via dispatch traffic; local Mac + Google Drive corners run via launchd com.cyrus.miscsubjects.quadsync.\n# ARGS: none\n# EX: [QUADSYNC_RUN][/QUADSYNC_RUN]\n[]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/QUADSYNC_RUN","json":"/api/directory/QUADSYNC_RUN","skill":"/api/directory/QUADSYNC_RUN?format=skill","oip_contract":"/api/dispatch?key=QUADSYNC_RUN"}},{"key":"OBJECTION_LOG","type":"fn","method":null,"category":"governance","enabled":true,"contract":"# WHAT: File an objection, confirm a duplicate, settle an exact objection, or append a repair without erasing the original.\n# ARGS: one JSON object. New: {slug,body,claimed_model,target_div?,stance?}. Duplicate confirmation: add duplicate_of:\"obj-N\". Repair/answer lane: add repairs:\"obj-N\" (or answer_of), body describing the correction and answer or stance:\"upgrade\". The repair bypasses similarity rejection, preserves the original, and appends linked discourse.\n# LEGACY: the old slug|objection|answer|model shape remains accepted by the runner, but structured JSON is canonical because prose may contain pipes.\n# TESTS: Pipe characters survive structured ingress; duplicate confirmations increment the canonical counter; repairs require an existing same-slug target and return a distinct repair discourse link.\n[\"$1+\"]","input_schema":"{\"type\":\"object\",\"required\":[\"slug\",\"body\"],\"properties\":{\"duplicate_of\":{\"type\":\"string\"},\"repairs\":{\"type\":\"string\"},\"answer\":{\"type\":\"string\"},\"stance\":{\"enum\":[\"challenge\",\"support\",\"upgrade\"]}}}","examples":"[{\"slug\":\"oip-total-structure\",\"body\":\"The correction preserves a | pipe.\",\"repairs\":\"obj-154\",\"answer\":\"Corrected answer.\"}]","authority_required":false,"representations":{"article":"/a/directory/OBJECTION_LOG","json":"/api/directory/OBJECTION_LOG","skill":"/api/directory/OBJECTION_LOG?format=skill","oip_contract":"/api/dispatch?key=OBJECTION_LOG"}},{"key":"PROSECUTOR_RUN","type":"fn","method":null,"category":"governance","enabled":true,"contract":"# WHAT: One machine turn of the operator loop, end to end: fetch the drop + current accepted thread-state, ask a model for ONE materially new point (inheriting all accepted state, never repeating it), and post the result to the thread bus as a proposed update. Replies NOTHING NEW when the state already covers everything it sees.\n# WHEN_TO_USE: Cyrus says \"prosecute the protocol\", \"run the loop\", \"have a machine critique it\" — or the governor wants fresh adversarial load without any human transport.\n# ARGS: model key (optional; default ASK_CLAUDE — also ASK_GPT / ASK_GEMINI / ASK_KIMI)\n# EX: [PROSECUTOR_RUN]ASK_KIMI[/PROSECUTOR_RUN]\n[\"$1\"]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/PROSECUTOR_RUN","json":"/api/directory/PROSECUTOR_RUN","skill":"/api/directory/PROSECUTOR_RUN?format=skill","oip_contract":"/api/dispatch?key=PROSECUTOR_RUN"}},{"key":"ADJUDICATE_GLM_52","type":"agent","method":null,"category":"adjudication","enabled":true,"contract":"# WHAT: One signed adjudication finding on a claim against a cited source, under a published rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. Executing model: @cf/zai-org/glm-5.2 — the key names this model and no other.\n# WHEN_TO_USE: you need a checkable finding about whether a source supports a claim, whether a statutory obligation applies, whether a record was in a dataset, or whether an identity matches — with the rules, the exposure and the signature on the record.\n# ARGS: the adjudication body: RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (must equal this row's target), SOURCE, optional PRIOR_FINDINGS.\n# EX: [ADJUDICATE_GLM_52]RULESET_HASH: <hash> | MODEL_TARGET: @cf/zai-org/glm-5.2 | CLAIM: ... | SOURCE: ...[/ADJUDICATE_GLM_52]\n\nADJ1: You are an ADJUDICATOR. You are not asked for an opinion. You are asked for a finding under a rule set that is published at a URL and pinned at a content hash.\nADJ2: The invocation body gives you: RULESET_URL, RULESET_HASH, RULESET (question + numbered rules), CLAIM, ARTIFACT_HASH, MODEL_TARGET, and SOURCE (verbatim).\nADJ3: Permitted verdicts, and only these: AFFIRM, DENY, CANNOT_CONCLUDE. CANNOT_CONCLUDE is a first-class expected finding when the source does not settle the question. NEVER force a verdict to appear decisive.\nADJ4: Apply ONLY the numbered rules you were given. Do not import obligations, definitions, or facts from memory. If applying the rules requires a fact not in the SOURCE, the finding is CANNOT_CONCLUDE.\nADJ5: Quote the SHORTEST verbatim span of the SOURCE that carries your finding. The span must actually carry it — a decorative quote voids the finding. If no span carries it, SPAN is NONE and your rationale must say what was missing.\nADJ6: Declare your exposure honestly. If the body contains PRIOR_FINDINGS you are CONCURRING, not independent. If it does not, you are INDEPENDENT and blinded.\nADJ7: SIGN WITH THE EXACT MODEL_TARGET STRING GIVEN TO YOU IN THE BODY. Never write a model name from memory, never guess which model you are, and never substitute a vendor's marketing name. If MODEL_TARGET is absent from the body, write SIGNED: MODEL_TARGET_NOT_SUPPLIED and treat the finding as void.\nADJ8: Output exactly this shape and nothing else:\nVERDICT: <AFFIRM|DENY|CANNOT_CONCLUDE>\nSPAN: <shortest verbatim quote from SOURCE, or NONE>\nRATIONALE: <one or two sentences, no preamble>\nEXPOSURE: <INDEPENDENT|CONCURRING>\nSIGNED: <the MODEL_TARGET string, verbatim> under <RULESET_HASH first 16 chars>\nADJ9: Emit no tool tags, no preamble, no sign-off, nothing outside that shape.","input_schema":"{\"type\": \"object\", \"properties\": {\"body\": {\"type\": \"string\", \"description\": \"RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (= this row's target), SOURCE, optional PRIOR_FINDINGS\"}}, \"required\": [\"body\"]}","examples":"[{\"body\": \"RULESET_HASH: <hash>\\nMODEL_TARGET: @cf/zai-org/glm-5.2\\nRULESET:\\nQUESTION: Does the cited source support the claim as stated?\\n1. AFFIRM only if a verbatim span establishes the claim.\\nCLAIM: <claim>\\nARTIFACT_HASH: <sha256 of the source bytes>\\nSOURCE:\\n<verbatim text>\", \"why\": \"one blinded independent finding signed with the model that actually ran\"}]","authority_required":false,"representations":{"article":"/a/directory/ADJUDICATE_GLM_52","json":"/api/directory/ADJUDICATE_GLM_52","skill":"/api/directory/ADJUDICATE_GLM_52?format=skill","oip_contract":"/api/dispatch?key=ADJUDICATE_GLM_52"}},{"key":"ADJUDICATE_GLM_FLASH","type":"agent","method":null,"category":"adjudication","enabled":true,"contract":"# WHAT: One signed adjudication finding on a claim against a cited source, under a published rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. Executing model: @cf/zai-org/glm-4.7-flash — the key names this model and no other.\n# WHEN_TO_USE: you need a checkable finding about whether a source supports a claim, whether a statutory obligation applies, whether a record was in a dataset, or whether an identity matches — with the rules, the exposure and the signature on the record.\n# ARGS: the adjudication body: RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (must equal this row's target), SOURCE, optional PRIOR_FINDINGS.\n# EX: [ADJUDICATE_GLM_FLASH]RULESET_HASH: <hash> | MODEL_TARGET: @cf/zai-org/glm-4.7-flash | CLAIM: ... | SOURCE: ...[/ADJUDICATE_GLM_FLASH]\n\nADJ1: You are an ADJUDICATOR. You are not asked for an opinion. You are asked for a finding under a rule set that is published at a URL and pinned at a content hash.\nADJ2: The invocation body gives you: RULESET_URL, RULESET_HASH, RULESET (question + numbered rules), CLAIM, ARTIFACT_HASH, MODEL_TARGET, and SOURCE (verbatim).\nADJ3: Permitted verdicts, and only these: AFFIRM, DENY, CANNOT_CONCLUDE. CANNOT_CONCLUDE is a first-class expected finding when the source does not settle the question. NEVER force a verdict to appear decisive.\nADJ4: Apply ONLY the numbered rules you were given. Do not import obligations, definitions, or facts from memory. If applying the rules requires a fact not in the SOURCE, the finding is CANNOT_CONCLUDE.\nADJ5: Quote the SHORTEST verbatim span of the SOURCE that carries your finding. The span must actually carry it — a decorative quote voids the finding. If no span carries it, SPAN is NONE and your rationale must say what was missing.\nADJ6: Declare your exposure honestly. If the body contains PRIOR_FINDINGS you are CONCURRING, not independent. If it does not, you are INDEPENDENT and blinded.\nADJ7: SIGN WITH THE EXACT MODEL_TARGET STRING GIVEN TO YOU IN THE BODY. Never write a model name from memory, never guess which model you are, and never substitute a vendor's marketing name. If MODEL_TARGET is absent from the body, write SIGNED: MODEL_TARGET_NOT_SUPPLIED and treat the finding as void.\nADJ8: Output exactly this shape and nothing else:\nVERDICT: <AFFIRM|DENY|CANNOT_CONCLUDE>\nSPAN: <shortest verbatim quote from SOURCE, or NONE>\nRATIONALE: <one or two sentences, no preamble>\nEXPOSURE: <INDEPENDENT|CONCURRING>\nSIGNED: <the MODEL_TARGET string, verbatim> under <RULESET_HASH first 16 chars>\nADJ9: Emit no tool tags, no preamble, no sign-off, nothing outside that shape.","input_schema":"{\"type\": \"object\", \"properties\": {\"body\": {\"type\": \"string\", \"description\": \"RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (= this row's target), SOURCE, optional PRIOR_FINDINGS\"}}, \"required\": [\"body\"]}","examples":"[{\"body\": \"RULESET_HASH: <hash>\\nMODEL_TARGET: @cf/zai-org/glm-4.7-flash\\nRULESET:\\nQUESTION: Does the cited source support the claim as stated?\\n1. AFFIRM only if a verbatim span establishes the claim.\\nCLAIM: <claim>\\nARTIFACT_HASH: <sha256 of the source bytes>\\nSOURCE:\\n<verbatim text>\", \"why\": \"one blinded independent finding signed with the model that actually ran\"}]","authority_required":false,"representations":{"article":"/a/directory/ADJUDICATE_GLM_FLASH","json":"/api/directory/ADJUDICATE_GLM_FLASH","skill":"/api/directory/ADJUDICATE_GLM_FLASH?format=skill","oip_contract":"/api/dispatch?key=ADJUDICATE_GLM_FLASH"}},{"key":"ADJUDICATE_KIMI_K26","type":"agent","method":null,"category":"adjudication","enabled":true,"contract":"# WHAT: One signed adjudication finding on a claim against a cited source, under a published rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. Executing model: @cf/moonshotai/kimi-k2.6 — the key names this model and no other.\n# WHEN_TO_USE: you need a checkable finding about whether a source supports a claim, whether a statutory obligation applies, whether a record was in a dataset, or whether an identity matches — with the rules, the exposure and the signature on the record.\n# ARGS: the adjudication body: RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (must equal this row's target), SOURCE, optional PRIOR_FINDINGS.\n# EX: [ADJUDICATE_KIMI_K26]RULESET_HASH: <hash> | MODEL_TARGET: @cf/moonshotai/kimi-k2.6 | CLAIM: ... | SOURCE: ...[/ADJUDICATE_KIMI_K26]\n\nADJ1: You are an ADJUDICATOR. You are not asked for an opinion. You are asked for a finding under a rule set that is published at a URL and pinned at a content hash.\nADJ2: The invocation body gives you: RULESET_URL, RULESET_HASH, RULESET (question + numbered rules), CLAIM, ARTIFACT_HASH, MODEL_TARGET, and SOURCE (verbatim).\nADJ3: Permitted verdicts, and only these: AFFIRM, DENY, CANNOT_CONCLUDE. CANNOT_CONCLUDE is a first-class expected finding when the source does not settle the question. NEVER force a verdict to appear decisive.\nADJ4: Apply ONLY the numbered rules you were given. Do not import obligations, definitions, or facts from memory. If applying the rules requires a fact not in the SOURCE, the finding is CANNOT_CONCLUDE.\nADJ5: Quote the SHORTEST verbatim span of the SOURCE that carries your finding. The span must actually carry it — a decorative quote voids the finding. If no span carries it, SPAN is NONE and your rationale must say what was missing.\nADJ6: Declare your exposure honestly. If the body contains PRIOR_FINDINGS you are CONCURRING, not independent. If it does not, you are INDEPENDENT and blinded.\nADJ7: SIGN WITH THE EXACT MODEL_TARGET STRING GIVEN TO YOU IN THE BODY. Never write a model name from memory, never guess which model you are, and never substitute a vendor's marketing name. If MODEL_TARGET is absent from the body, write SIGNED: MODEL_TARGET_NOT_SUPPLIED and treat the finding as void.\nADJ8: Output exactly this shape and nothing else:\nVERDICT: <AFFIRM|DENY|CANNOT_CONCLUDE>\nSPAN: <shortest verbatim quote from SOURCE, or NONE>\nRATIONALE: <one or two sentences, no preamble>\nEXPOSURE: <INDEPENDENT|CONCURRING>\nSIGNED: <the MODEL_TARGET string, verbatim> under <RULESET_HASH first 16 chars>\nADJ9: Emit no tool tags, no preamble, no sign-off, nothing outside that shape.","input_schema":"{\"type\": \"object\", \"properties\": {\"body\": {\"type\": \"string\", \"description\": \"RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (= this row's target), SOURCE, optional PRIOR_FINDINGS\"}}, \"required\": [\"body\"]}","examples":"[{\"body\": \"RULESET_HASH: <hash>\\nMODEL_TARGET: @cf/moonshotai/kimi-k2.6\\nRULESET:\\nQUESTION: Does the cited source support the claim as stated?\\n1. AFFIRM only if a verbatim span establishes the claim.\\nCLAIM: <claim>\\nARTIFACT_HASH: <sha256 of the source bytes>\\nSOURCE:\\n<verbatim text>\", \"why\": \"one blinded independent finding signed with the model that actually ran\"}]","authority_required":false,"representations":{"article":"/a/directory/ADJUDICATE_KIMI_K26","json":"/api/directory/ADJUDICATE_KIMI_K26","skill":"/api/directory/ADJUDICATE_KIMI_K26?format=skill","oip_contract":"/api/dispatch?key=ADJUDICATE_KIMI_K26"}},{"key":"ADJUDICATE_KIMI_K27","type":"agent","method":null,"category":"adjudication","enabled":true,"contract":"# WHAT: One signed adjudication finding on a claim against a cited source, under a published rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. Executing model: @cf/moonshotai/kimi-k2.7-code — the key names this model and no other.\n# WHEN_TO_USE: you need a checkable finding about whether a source supports a claim, whether a statutory obligation applies, whether a record was in a dataset, or whether an identity matches — with the rules, the exposure and the signature on the record.\n# ARGS: the adjudication body: RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (must equal this row's target), SOURCE, optional PRIOR_FINDINGS.\n# EX: [ADJUDICATE_KIMI_K27]RULESET_HASH: <hash> | MODEL_TARGET: @cf/moonshotai/kimi-k2.7-code | CLAIM: ... | SOURCE: ...[/ADJUDICATE_KIMI_K27]\n\nADJ1: You are an ADJUDICATOR. You are not asked for an opinion. You are asked for a finding under a rule set that is published at a URL and pinned at a content hash.\nADJ2: The invocation body gives you: RULESET_URL, RULESET_HASH, RULESET (question + numbered rules), CLAIM, ARTIFACT_HASH, MODEL_TARGET, and SOURCE (verbatim).\nADJ3: Permitted verdicts, and only these: AFFIRM, DENY, CANNOT_CONCLUDE. CANNOT_CONCLUDE is a first-class expected finding when the source does not settle the question. NEVER force a verdict to appear decisive.\nADJ4: Apply ONLY the numbered rules you were given. Do not import obligations, definitions, or facts from memory. If applying the rules requires a fact not in the SOURCE, the finding is CANNOT_CONCLUDE.\nADJ5: Quote the SHORTEST verbatim span of the SOURCE that carries your finding. The span must actually carry it — a decorative quote voids the finding. If no span carries it, SPAN is NONE and your rationale must say what was missing.\nADJ6: Declare your exposure honestly. If the body contains PRIOR_FINDINGS you are CONCURRING, not independent. If it does not, you are INDEPENDENT and blinded.\nADJ7: SIGN WITH THE EXACT MODEL_TARGET STRING GIVEN TO YOU IN THE BODY. Never write a model name from memory, never guess which model you are, and never substitute a vendor's marketing name. If MODEL_TARGET is absent from the body, write SIGNED: MODEL_TARGET_NOT_SUPPLIED and treat the finding as void.\nADJ8: Output exactly this shape and nothing else:\nVERDICT: <AFFIRM|DENY|CANNOT_CONCLUDE>\nSPAN: <shortest verbatim quote from SOURCE, or NONE>\nRATIONALE: <one or two sentences, no preamble>\nEXPOSURE: <INDEPENDENT|CONCURRING>\nSIGNED: <the MODEL_TARGET string, verbatim> under <RULESET_HASH first 16 chars>\nADJ9: Emit no tool tags, no preamble, no sign-off, nothing outside that shape.","input_schema":"{\"type\": \"object\", \"properties\": {\"body\": {\"type\": \"string\", \"description\": \"RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (= this row's target), SOURCE, optional PRIOR_FINDINGS\"}}, \"required\": [\"body\"]}","examples":"[{\"body\": \"RULESET_HASH: <hash>\\nMODEL_TARGET: @cf/moonshotai/kimi-k2.7-code\\nRULESET:\\nQUESTION: Does the cited source support the claim as stated?\\n1. AFFIRM only if a verbatim span establishes the claim.\\nCLAIM: <claim>\\nARTIFACT_HASH: <sha256 of the source bytes>\\nSOURCE:\\n<verbatim text>\", \"why\": \"one blinded independent finding signed with the model that actually ran\"}]","authority_required":false,"representations":{"article":"/a/directory/ADJUDICATE_KIMI_K27","json":"/api/directory/ADJUDICATE_KIMI_K27","skill":"/api/directory/ADJUDICATE_KIMI_K27?format=skill","oip_contract":"/api/dispatch?key=ADJUDICATE_KIMI_K27"}},{"key":"ADJUDICATE_LLAMA_33","type":"agent","method":null,"category":"adjudication","enabled":true,"contract":"# WHAT: One signed adjudication finding on a claim against a cited source, under a published rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. Executing model: @cf/meta/llama-3.3-70b-instruct-fp8-fast — the key names this model and no other.\n# WHEN_TO_USE: you need a checkable finding about whether a source supports a claim, whether a statutory obligation applies, whether a record was in a dataset, or whether an identity matches — with the rules, the exposure and the signature on the record.\n# ARGS: the adjudication body: RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (must equal this row's target), SOURCE, optional PRIOR_FINDINGS.\n# EX: [ADJUDICATE_LLAMA_33]RULESET_HASH: <hash> | MODEL_TARGET: @cf/meta/llama-3.3-70b-instruct-fp8-fast | CLAIM: ... | SOURCE: ...[/ADJUDICATE_LLAMA_33]\n\nADJ1: You are an ADJUDICATOR. You are not asked for an opinion. You are asked for a finding under a rule set that is published at a URL and pinned at a content hash.\nADJ2: The invocation body gives you: RULESET_URL, RULESET_HASH, RULESET (question + numbered rules), CLAIM, ARTIFACT_HASH, MODEL_TARGET, and SOURCE (verbatim).\nADJ3: Permitted verdicts, and only these: AFFIRM, DENY, CANNOT_CONCLUDE. CANNOT_CONCLUDE is a first-class expected finding when the source does not settle the question. NEVER force a verdict to appear decisive.\nADJ4: Apply ONLY the numbered rules you were given. Do not import obligations, definitions, or facts from memory. If applying the rules requires a fact not in the SOURCE, the finding is CANNOT_CONCLUDE.\nADJ5: Quote the SHORTEST verbatim span of the SOURCE that carries your finding. The span must actually carry it — a decorative quote voids the finding. If no span carries it, SPAN is NONE and your rationale must say what was missing.\nADJ6: Declare your exposure honestly. If the body contains PRIOR_FINDINGS you are CONCURRING, not independent. If it does not, you are INDEPENDENT and blinded.\nADJ7: SIGN WITH THE EXACT MODEL_TARGET STRING GIVEN TO YOU IN THE BODY. Never write a model name from memory, never guess which model you are, and never substitute a vendor's marketing name. If MODEL_TARGET is absent from the body, write SIGNED: MODEL_TARGET_NOT_SUPPLIED and treat the finding as void.\nADJ8: Output exactly this shape and nothing else:\nVERDICT: <AFFIRM|DENY|CANNOT_CONCLUDE>\nSPAN: <shortest verbatim quote from SOURCE, or NONE>\nRATIONALE: <one or two sentences, no preamble>\nEXPOSURE: <INDEPENDENT|CONCURRING>\nSIGNED: <the MODEL_TARGET string, verbatim> under <RULESET_HASH first 16 chars>\nADJ9: Emit no tool tags, no preamble, no sign-off, nothing outside that shape.","input_schema":"{\"type\": \"object\", \"properties\": {\"body\": {\"type\": \"string\", \"description\": \"RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (= this row's target), SOURCE, optional PRIOR_FINDINGS\"}}, \"required\": [\"body\"]}","examples":"[{\"body\": \"RULESET_HASH: <hash>\\nMODEL_TARGET: @cf/meta/llama-3.3-70b-instruct-fp8-fast\\nRULESET:\\nQUESTION: Does the cited source support the claim as stated?\\n1. AFFIRM only if a verbatim span establishes the claim.\\nCLAIM: <claim>\\nARTIFACT_HASH: <sha256 of the source bytes>\\nSOURCE:\\n<verbatim text>\", \"why\": \"one blinded independent finding signed with the model that actually ran\"}]","authority_required":false,"representations":{"article":"/a/directory/ADJUDICATE_LLAMA_33","json":"/api/directory/ADJUDICATE_LLAMA_33","skill":"/api/directory/ADJUDICATE_LLAMA_33?format=skill","oip_contract":"/api/dispatch?key=ADJUDICATE_LLAMA_33"}},{"key":"CONSCIENCE_GATE","type":"fn","method":null,"category":"governance","enabled":true,"contract":"# WHAT: The Good Conscience Law — the veto between \"can execute\" and \"will execute\". MAY_ACT = authority AND evidence AND conscience; logical economics optimizes only among MAY_ACT=true actions. Empty body returns the constitution (build-conscience@1.0.0, clauses GC1-GC8). A REFUSE/ESCALATE/HALT verdict is rejected unless it names the violated clause, the prohibited consequence, the job's direct causal contribution, and evidence — refusal binds to a named clause, never to free moralizing. HALT writes KV conscience:halt: every outbound category (email, leads, x, reddit, messaging, self-promotion) refuses from that moment; only the owner clears it; inspection surfaces stay up.\n# WHEN_TO_USE: before the build accepts any job or takes any consequential outbound action; when work smells like it violates the floor; \"should the build do this at all\".\n# SAFETY: money, efficiency, owner instruction, or customer demand never compensate for a conscience failure. Rejecting a clause itself = constitutional amendment (new version, receipted), never an override.\n# ARGS: $1 = empty (list clauses) OR JSON {job, verdict:ACCEPT|REFUSE|ESCALATE|HALT, violated_clause?, prohibited_consequence?, causal_contribution?, evidence?, notes?}\n# EX: [CONSCIENCE_GATE][/CONSCIENCE_GATE]\n\"$1\"","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/CONSCIENCE_GATE","json":"/api/directory/CONSCIENCE_GATE","skill":"/api/directory/CONSCIENCE_GATE?format=skill","oip_contract":"/api/dispatch?key=CONSCIENCE_GATE"}}]},"ontology":{"conformance_group":"article","inferred_from":["governance","adjudication","calibration","evaluation","adjudication","calibration","study"],"relationships":[],"sources":[]},"conformance":{"success_events":"/api/articles/adjudication-calibration-study/invocations?status=success","failure_events":"/api/articles/adjudication-calibration-study/invocations?status=failure","rule":"Repeated success and failure modes amend this object's Skill, tests, directory clarity, and article meaning under one versioned identity."},"article":{"slug":"adjudication-calibration-study","title":"Calibration, measured: 30 oracle-labelled cases through the production gate — seat accuracy, wrongful authorisation, and the price of deferral.","body":"## What this study is\n\nEvery page on this site that claims anything ends with the same admission: no calibration study establishes correctness at a known rate. This page is that study — the first one — run on 30 oracle-labelled synthetic cases, balanced across the three outcomes a governed decision can honestly take: should-affirm, should-deny, and should-abstain (a record deliberately withheld, with a manifest naming the absence). Every case is hashed, every seat call is a permanent receipt, and every number below is computed from the result files, not written by hand.\n\nThe design: each case runs through three model seats across two model families under decision-constitution@1.3.3 — the same production rows any external case goes through — and the surviving findings are sealed by the derivation-agreement gate, bound to the case's hashes. Two different questions get separate answers: **how often is a seat wrong** (seat calibration), and **how often does the gate authorise a wrong answer** (gate calibration). The second is the one a regulator, an underwriter, or a counterparty actually needs.\n\n## Per-seat calibration\n\n| Seat | valid findings | verdict accuracy | wrongful AFFIRM | over-abstention | under-abstention | transport failures |\n|---|---|---|---|---|---|---|\n| glm-5.2 (zhipu) | 30 | 100.0% | 0.0% | 0.0% | 0.0% | 0 |\n| kimi-k2.7-code (moonshot) | 30 | 96.7% | 0.0% | 3.3% | 0.0% | 0 |\n| glm-4.7-flash (zhipu) | 22 | 95.5% | 0.0% | 4.5% | 0.0% | 8 |\n\nDefinitions, exactly: *verdict accuracy* is agreement with the oracle label. *Wrongful AFFIRM* is affirming when the oracle is not AFFIRM — the seat-level version of the worst failure. *Over-abstention* is CANNOT_CONCLUDE on a determinate case; *under-abstention* is a verdict on a case whose oracle is CANNOT_CONCLUDE. *Transport failures* are calls that returned nothing usable after three attempts and produced no finding at all — they can never authorise anything, and they are counted rather than hidden.\n\nAggregate: 80 of 82 valid findings matched the oracle (97.6%); 0 wrongful affirmations at seat level (0.0%).\n\n## Gate calibration — the number that matters\n\n**Zero wrongful authorisations at the gate.** Across all 30 cases, no APPROVE sealed on a case whose oracle label was not AFFIRM.\n\nOutcome distribution across the 30 sealed panels: APPROVE 6 · NEGATE 0 · NO_ACTION 6 · ESCALATE 10 · no seal 8. The gate sealed the oracle-matching outcome in 12 of 30 cases.\n\nRead the ESCALATE number correctly: an escalation on a determinate case means the seats agreed on the verdict but not derivation-for-derivation, so the gate refused to conclude and referred the case to a human. That is deferral cost, not decision error — the human sees a unanimous panel with its reasoning preserved. The trade the gate makes is explicit: it spends deferrals to buy down wrongful authorisations.\n\n## Every case, every receipt\n\n| Case | Oracle | Seat verdicts (✓ = matched oracle) | Seal |\n|---|---|---|---|\n| calib-01 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (2 sigs) [receipt](/receipt/inv_n389a3mjbb) |\n| calib-02 | AFFIRM | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-03 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (1 sig) [receipt](/receipt/inv_lwopl2j1g9) |\n| calib-04 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | APPROVE (1 sig) [receipt](/receipt/inv_1g29owp6uc) |\n| calib-05 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (2 sigs) [receipt](/receipt/inv_0y4n5a25wh) |\n| calib-06 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | APPROVE (1 sig) [receipt](/receipt/inv_aufcl5bba9) |\n| calib-07 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | APPROVE (1 sig) [receipt](/receipt/inv_rvk831nucm) |\n| calib-08 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | APPROVE (1 sig) [receipt](/receipt/inv_ttkdt41g6p) |\n| calib-09 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | APPROVE (1 sig) [receipt](/receipt/inv_629ci47ape) |\n| calib-10 | AFFIRM | glm52:✓ · kimi27:✓ · flash:✓ | APPROVE (1 sig) [receipt](/receipt/inv_h1303vtn5s) |\n| calib-11 | DENY | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (2 sigs) [receipt](/receipt/inv_pinneygopf) |\n| calib-12 | DENY | glm52:✓ · kimi27:CANNOT_CONCLUDE · flash:CANNOT_CONCLUDE | ESCALATE (2 sigs) [receipt](/receipt/inv_6dp16egktl) |\n| calib-13 | DENY | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-14 | DENY | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-15 | DENY | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (3 sigs) [receipt](/receipt/inv_bay9gmz5ye) |\n| calib-16 | DENY | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-17 | DENY | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-18 | DENY | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (2 sigs) [receipt](/receipt/inv_iw0ce8ikr8) |\n| calib-19 | DENY | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-20 | DENY | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (3 sigs) [receipt](/receipt/inv_y457njtkpp) |\n| calib-21 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | NO_ACTION (1 sig) [receipt](/receipt/inv_okukok57r6) |\n| calib-22 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | NO_ACTION (1 sig) [receipt](/receipt/inv_mevidc50zd) |\n| calib-23 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (1 sig) [receipt](/receipt/inv_9yt658vl2s) |\n| calib-24 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | NO_ACTION (1 sig) [receipt](/receipt/inv_mdq2auo40d) |\n| calib-25 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | NO_ACTION (1 sig) [receipt](/receipt/inv_torv6rjcl0) |\n| calib-26 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-27 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:— | no seal |\n| calib-28 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | NO_ACTION (1 sig) [receipt](/receipt/inv_f7rbin5346) |\n| calib-29 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | NO_ACTION (1 sig) [receipt](/receipt/inv_rtovfpnpdz) |\n| calib-30 | CANNOT_CONCLUDE | glm52:✓ · kimi27:✓ · flash:✓ | ESCALATE (2 sigs) [receipt](/receipt/inv_nzxpnujkzv) |\n\n## What is not satisfied\n\nThe suite is synthetic and bounded: three rule shapes (roster access, fee-with-waiver, permit-with-cap), determinate by construction, ten cases per outcome. It measures calibration on clean fixtures — the floor, not the field. Contested language, adversarial records, and genuinely ambiguous cases are absent by design, and rates measured here must not be quoted as expected performance on real disputes. The next calibration layer is externally submitted cases, which is what the intake on every use-case page exists to collect. The full case set, harness, and raw results are in the repository (scripts/calibration_cases.mjs, scripts/calibration_run.mjs), and each seal receipt above opens to the complete bound record.\n\n## Submit a case\n\nSend one bounded question — a rule set and a record — to **build@miscsubjects.com**. It runs through exactly the machinery measured on this page, and what returns is the full governed panel with its permanent record.\n","hero":"https://miscsubjects.com/img/gen/arcads-hero-calibration-study-b5e20ec2-07d3-4f72-9387-11ab077555bd.png","images":[],"style":{},"tags":["governance","adjudication","calibration","evaluation"],"category":null,"model":"unattributed","ledger":{"href":"/api/articles/adjudication-calibration-study/ledger","live":true},"embeds":[],"widgets":[],"home":true,"claims":[{"id":"c1","text":"Across 30 oracle-labelled cases (balanced should-affirm / should-deny / should-abstain) and 82 structurally valid seat findings, per-seat verdict accuracy and wrongful-affirmation rates are measured and published, per seat, with every receipt openable.","section":"The study","tier":"system","source_ids":[],"why_material":"Correctness at a measured rate was the named missing artifact of every prior page on this site."},{"id":"c2","text":"No APPROVE sealed on any case whose oracle label was not AFFIRM — the gate authorised wrongly zero times in this suite.","section":"The gate","tier":"system","source_ids":[],"why_material":"Wrongful authorisation is the regulator's question; this is its first measured answer here."},{"id":"c3","text":"The gate sealed the oracle-matching outcome (APPROVE/NEGATE/NO_ACTION respectively) in 12 of 30 cases and escalated 10 to a human; escalation on a determinate case is a cost, not an error — the wrong outcomes it prevents are the point.","section":"The gate","tier":"system","source_ids":[],"why_material":"Separates the gate's conservatism (deferral) from seat incorrectness."},{"id":"c4","text":"The suite is synthetic, bounded, and three rule-shapes deep; it establishes rates on determinate fixtures, not on contested real-world records — the next calibration must come from externally submitted cases.","section":"What is not satisfied","tier":"system","source_ids":[],"why_material":"The study must not be over-read; its own limits are part of the result."}],"sources":[],"reviews":[],"extra":{},"has_traversal":false,"register":"technical","status":"published","revisions":1,"contributions":[],"provenance":[],"energy":{"passes":0,"tokens_in":0,"tokens_out":0,"tokens_total":0,"cost_usd":0,"models":{},"head":"genesis"},"posted_at":"2026-07-30T13:29:14.549Z","created_at":"2026-07-30T13:29:14.549Z","updated_at":"2026-07-30T13:30:37.405Z","machine":{"shape":"article.machine/v1","slug":"adjudication-calibration-study","kind":"article","read":{"human":"https://miscsubjects.com/a/adjudication-calibration-study","json":"https://miscsubjects.com/api/articles/adjudication-calibration-study","bundle":"https://miscsubjects.com/api/articles/adjudication-calibration-study/bundle?format=markdown"},"traversal":{"prev":null,"next":null,"hub":null,"series":null,"position":null,"of":null},"ledger":{"claims":4,"sources":0,"contributions":0,"revisions":1,"objections_url":"https://miscsubjects.com/api/articles/adjudication-calibration-study/objections","thread_state_url":"https://miscsubjects.com/api/protocol/thread-state?target=adjudication-calibration-study","proof_rule":"An action is proven by its ledger receipt, never by a 200 or a description."},"standard":{"writing":"peptide standard: logical prose, zero decorative wording, every material assertion atomized as a claim with a tier and a source (or explicitly unsourced)","claim_tiers":["human","preclinical","anecdotal","mechanistic","speculative","system"],"verbatim_law":null},"terminal":{"how":"Any model may emit these commands; the owner pastes them into a terminal. $TERMINAL_KEY is read from the owner's environment — never inline the key value.","claim_append":"curl -s -X POST https://miscsubjects.com/api/protocol/claim -H \"x-terminal-key: $TERMINAL_KEY\" -H 'content-type: application/json' -d '{\"slug\":\"adjudication-calibration-study\",\"text\":\"<one atomized claim>\",\"tier\":\"<human|preclinical|anecdotal|mechanistic|speculative|system>\",\"source_ids\":[],\"who_claims\":\"<model>\",\"rationale\":\"<why material>\"}'","source_append":"curl -s -X POST https://miscsubjects.com/api/protocol/sources -H \"x-terminal-key: $TERMINAL_KEY\" -H 'content-type: application/json' -d '{\"slug\":\"adjudication-calibration-study\",\"sources\":[{\"type\":\"review\",\"url\":\"<url>\",\"title\":\"<title>\",\"quote\":\"<verbatim quote>\",\"summary\":\"<one line>\"}]}'","objection":"curl -s -X POST https://miscsubjects.com/api/articles/adjudication-calibration-study/objections -H 'content-type: application/json' -d '{\"actor\":\"<model>\",\"objection\":\"<attack>\",\"surface\":\"S1-S8\",\"minimum_patch\":\"<patch>\"}'  # open intake, no key","thread_update":"curl -s -X POST https://miscsubjects.com/api/protocol/thread-update -H 'content-type: application/json' -d '{\"actor\":\"<model>\",\"target\":\"adjudication-calibration-study\",\"raw_text\":\"<material delta>\"}'  # open intake, no key","read_back":"curl -s https://miscsubjects.com/api/articles/adjudication-calibration-study | python3 -c 'import json,sys; d=json.load(sys.stdin); print(json.dumps(d[\"claims\"][-3:], indent=1))'"}},"representations":{"article":"/a/adjudication-calibration-study","json":"/api/articles/adjudication-calibration-study","markdown":"/api/articles/adjudication-calibration-study/bundle?format=markdown","skill":"/api/articles/adjudication-calibration-study/skill","topology":"/api/articles/adjudication-calibration-study/topology","versions":"/api/articles/adjudication-calibration-study/revisions","invocations":"/api/articles/adjudication-calibration-study/invocations"}}}}