{
  "schemaVersion": "wsmusings.automated-evidence-assessment.v1",
  "assessmentEngineVersion": "wsmusings.automated-evidence-quality-engine.v1",
  "assessmentId": "assessment:v716:fd1402288e6e2ea0832c",
  "assessmentTimestamp": "2026-08-24T00:00:00Z",
  "timestampPolicy": "Release-normalized timestamp; excluded from rule inputs and stable for identical v7.16 builds.",
  "object": {
    "objectId": "k7:a9740b207405e659e26d",
    "objectType": "INTERSECTIONAL_THEME",
    "title": "Administrative Discretion & Accountability × Cross-System Compounding & Intersectional Amplification × Cumulative & Intergenerational Disadvantage × Data Classification & Measurement Fidelity × Remedy, Retaliation & Access to Redress × Spatial Segregation & Unequal Access × Unequal Resource Allocation & Public Investment",
    "k": 7,
    "associatedObjectIds": [
      "k7:a9740b207405e659e26d"
    ]
  },
  "claim": {
    "claimId": "claim:v715:86457d6f3b68458b9833",
    "exactLanguage": "For covered U.S. federal high-impact AI uses, OMB M-25-21 requires impact assessment, testing, human oversight, and appeal or evidence-assessment processes; those controls do not establish the asserted seven-way interaction among all constituent research issues.",
    "scope": "Covered U.S. federal agency high-impact AI uses under OMB M-25-21; policy effective in 2025–2026; no claim that the full K7 interaction is empirically established.",
    "exclusions": [
      "policy effective in 2025–2026",
      "no claim that the full K7 interaction is empirically established."
    ],
    "jurisdiction": "United States federal agencies",
    "applicablePopulation": "People affected by covered federal high-impact AI uses",
    "relevantTimePeriod": "2025-04-03/2026-08-24"
  },
  "evidence": {
    "supportingEvidence": [
      {
        "evidenceRecordId": "evidence:v715:af320b2ca613835365ba",
        "researchObjectId": "k7:a9740b207405e659e26d",
        "claimId": "claim:v715:86457d6f3b68458b9833",
        "claimText": "For covered U.S. federal high-impact AI uses, OMB M-25-21 requires impact assessment, testing, human oversight, and appeal or evidence-assessment processes; those controls do not establish the asserted seven-way interaction among all constituent research issues.",
        "claimScope": "Covered U.S. federal agency high-impact AI uses under OMB M-25-21; policy effective in 2025–2026; no claim that the full K7 interaction is empirically established.",
        "jurisdiction": "United States federal agencies",
        "applicablePopulation": "People affected by covered federal high-impact AI uses",
        "relevantTimePeriod": "2025-04-03/2026-08-24",
        "sourceId": "source:v715:54f32c42c8024082b790",
        "sourceTitle": "OMB Memorandum M-25-21: Accelerating Federal Use of AI through Innovation, Governance, and Public Trust",
        "sourceAuthorOrIssuingAuthority": "Office of Management and Budget",
        "publisher": "Executive Office of the President",
        "sourceType": "OFFICIAL_POLICY",
        "canonicalUrl": "https://www.whitehouse.gov/wp-content/uploads/2025/02/M-25-21-Accelerating-Federal-Use-of-AI-through-Innovation-Governance-and-Public-Trust.pdf",
        "publicationDate": "2025-04-03",
        "accessDate": "2026-08-24",
        "exactLocatorType": "SECTION",
        "exactLocatorValue": "§ 4(b)(ii)–(vi), PDF pages 15–16",
        "atomicUrlRationale": "NOT_APPLICABLE",
        "extractOrParaphrase": "Paraphrase: agencies must conduct pre-deployment testing and AI impact assessments, provide human oversight, and offer appeal or deterministic evidence assessment where appropriate.",
        "quotationStatus": "PARAPHRASE",
        "evidenceDirection": "CONFIRMATORY",
        "applicability": "PARTIALLY_APPLICABLE",
        "currency": "CURRENT",
        "authorityAssessment": "PRIMARY_EXECUTIVE_BRANCH_POLICY",
        "methodologicalLimitation": "The memorandum governs covered federal agency uses and does not establish outcomes across all seven constituent issue domains.",
        "conflictOrContradictionStatus": "NO_MATERIAL_CONTRADICTION_IDENTIFIED_BY_AUTOMATED_PRECHECK",
        "counterevidenceLink": "LINKED_WITHIN_CLAIM_RECORD",
        "reviewerDisposition": "NOT_EVALUATED",
        "reconciliationState": "NOT_EVALUATED",
        "provenance": {
          "authoringOrigin": "SYSTEM_CURATED_FROM_PRIMARY_SOURCE",
          "sourceAccess": "PUBLIC_OFFICIAL_URL",
          "modelOutputUsedAsEvidence": false,
          "automatedAssessmentPerformed": false
        },
        "createdAt": "2026-08-24T00:00:00Z",
        "updatedAt": "2026-08-24T00:00:00Z",
        "schemaVersion": "wsmusings.evidence-pilot.v1"
      }
    ],
    "disconfirmatoryEvidence": [],
    "mixedEvidence": [],
    "contextOnlyEvidence": [
      {
        "evidenceRecordId": "evidence:v715:668905a82b47edde2675",
        "researchObjectId": "k7:a9740b207405e659e26d",
        "claimId": "claim:v715:86457d6f3b68458b9833",
        "claimText": "For covered U.S. federal high-impact AI uses, OMB M-25-21 requires impact assessment, testing, human oversight, and appeal or evidence-assessment processes; those controls do not establish the asserted seven-way interaction among all constituent research issues.",
        "claimScope": "Covered U.S. federal agency high-impact AI uses under OMB M-25-21; policy effective in 2025–2026; no claim that the full K7 interaction is empirically established.",
        "jurisdiction": "United States federal agencies",
        "applicablePopulation": "People affected by covered federal high-impact AI uses",
        "relevantTimePeriod": "2025-04-03/2026-08-24",
        "sourceId": "source:v715:57665197bd1d74435840",
        "sourceTitle": "Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1",
        "sourceAuthorOrIssuingAuthority": "National Institute of Standards and Technology",
        "publisher": "NIST",
        "sourceType": "OFFICIAL_FRAMEWORK",
        "canonicalUrl": "https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10",
        "publicationDate": "2023-01-26",
        "accessDate": "2026-08-24",
        "exactLocatorType": "SECTION",
        "exactLocatorValue": "NIST AI 100-1, Executive Summary and Framework scope",
        "atomicUrlRationale": "NOT_APPLICABLE",
        "extractOrParaphrase": "Paraphrase: the AI RMF supplies a voluntary, rights-preserving risk-management framework; its voluntary and use-case-agnostic nature limits claims of implementation or cross-system effect.",
        "quotationStatus": "PARAPHRASE",
        "evidenceDirection": "CONTEXT_ONLY",
        "applicability": "PARTIALLY_APPLICABLE",
        "currency": "CURRENT",
        "authorityAssessment": "AUTHORITATIVE_VOLUNTARY_FEDERAL_FRAMEWORK",
        "methodologicalLimitation": "The framework is voluntary, use-case agnostic, and does not itself demonstrate implementation or outcomes.",
        "conflictOrContradictionStatus": "NO_MATERIAL_CONTRADICTION_IDENTIFIED_BY_AUTOMATED_PRECHECK",
        "counterevidenceLink": "LINKED_WITHIN_CLAIM_RECORD",
        "reviewerDisposition": "NOT_EVALUATED",
        "reconciliationState": "NOT_EVALUATED",
        "provenance": {
          "authoringOrigin": "SYSTEM_CURATED_FROM_PRIMARY_SOURCE",
          "sourceAccess": "PUBLIC_OFFICIAL_URL",
          "modelOutputUsedAsEvidence": false,
          "automatedAssessmentPerformed": false
        },
        "createdAt": "2026-08-24T00:00:00Z",
        "updatedAt": "2026-08-24T00:00:00Z",
        "schemaVersion": "wsmusings.evidence-pilot.v1"
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    ],
    "structuredNoMatchRecords": [
      {
        "evidenceRecordId": "evidence:v715:61fe3208e6da896b402f",
        "researchObjectId": "k7:a9740b207405e659e26d",
        "claimId": "claim:v715:86457d6f3b68458b9833",
        "claimText": "For covered U.S. federal high-impact AI uses, OMB M-25-21 requires impact assessment, testing, human oversight, and appeal or evidence-assessment processes; those controls do not establish the asserted seven-way interaction among all constituent research issues.",
        "claimScope": "Covered U.S. federal agency high-impact AI uses under OMB M-25-21; policy effective in 2025–2026; no claim that the full K7 interaction is empirically established.",
        "jurisdiction": "United States federal agencies",
        "applicablePopulation": "People affected by covered federal high-impact AI uses",
        "relevantTimePeriod": "2025-04-03/2026-08-24",
        "sourceId": "NO_MATCH",
        "sourceTitle": "NO_MATCH — bounded official-source search",
        "sourceAuthorOrIssuingAuthority": "NOT_APPLICABLE",
        "publisher": "NOT_APPLICABLE",
        "sourceType": "SEARCH_ATTEMPT",
        "canonicalUrl": "NOT_APPLICABLE",
        "publicationDate": "NOT_APPLICABLE",
        "accessDate": "2026-08-24",
        "exactLocatorType": "NOT_APPLICABLE",
        "exactLocatorValue": "NOT_APPLICABLE",
        "atomicUrlRationale": "NOT_APPLICABLE",
        "extractOrParaphrase": "No qualifying source was found in the bounded official-source search that directly tests the full seven-way constituent interaction represented by this K7 object.",
        "quotationStatus": "PARAPHRASE",
        "evidenceDirection": "NO_MATCH",
        "applicability": "NOT_APPLICABLE",
        "currency": "NOT_ASSESSED",
        "authorityAssessment": "NOT_APPLICABLE",
        "methodologicalLimitation": "This bounded pilot search excluded subscription databases and is not a systematic literature review.",
        "conflictOrContradictionStatus": "NO_MATCH_IS_NOT_DISCONFIRMATION",
        "counterevidenceLink": "LINKED_WITHIN_CLAIM_RECORD",
        "reviewerDisposition": "NOT_EVALUATED",
        "reconciliationState": "NOT_EVALUATED",
        "provenance": {
          "authoringOrigin": "SYSTEM_CURATED_FROM_PRIMARY_SOURCE",
          "sourceAccess": "PUBLIC_OFFICIAL_URL",
          "modelOutputUsedAsEvidence": false,
          "automatedAssessmentPerformed": false
        },
        "createdAt": "2026-08-24T00:00:00Z",
        "updatedAt": "2026-08-24T00:00:00Z",
        "schemaVersion": "wsmusings.evidence-pilot.v1",
        "searchAttempt": {
          "searchDate": "2026-08-24",
          "searchScope": "Current official U.S. federal AI governance and risk-management materials",
          "searchStrategy": "Searched for direct evidence testing the full seven-issue interaction, not merely individual controls or pairwise associations.",
          "sourceClassesExamined": [
            "OFFICIAL_POLICY",
            "OFFICIAL_FRAMEWORK"
          ],
          "limitations": "This bounded pilot search excluded subscription databases and is not a systematic literature review.",
          "anotherSearchWarranted": true
        }
      }
    ],
    "exactSourceLocators": [
      {
        "evidenceRecordId": "evidence:v715:af320b2ca613835365ba",
        "sourceId": "source:v715:54f32c42c8024082b790",
        "sourceTitle": "OMB Memorandum M-25-21: Accelerating Federal Use of AI through Innovation, Governance, and Public Trust",
        "locatorType": "SECTION",
        "locatorValue": "§ 4(b)(ii)–(vi), PDF pages 15–16",
        "direction": "CONFIRMATORY"
      },
      {
        "evidenceRecordId": "evidence:v715:668905a82b47edde2675",
        "sourceId": "source:v715:57665197bd1d74435840",
        "sourceTitle": "Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1",
        "locatorType": "SECTION",
        "locatorValue": "NIST AI 100-1, Executive Summary and Framework scope",
        "direction": "CONTEXT_ONLY"
      }
    ],
    "missingEvidence": [
      {
        "type": "REQUIRED_SUBSET_EVIDENCE",
        "count": 119,
        "state": "MISSING"
      }
    ],
    "unresolvedRelationships": 0,
    "unresolvedMechanisms": 1
  },
  "automatedCritic": {
    "status": "AUTOMATED_ASSESSMENT_COMPLETE",
    "automatedAssessment": false,
    "findings": [
      {
        "check": "overbreadth",
        "status": "PASS",
        "finding": "The deterministic structural rule found no blocker; this is not human or substantive validation."
      },
      {
        "check": "sourceApplicability",
        "status": "PASS",
        "finding": "The deterministic structural rule found no blocker; this is not human or substantive validation."
      },
      {
        "check": "sourceCurrency",
        "status": "PASS",
        "finding": "The deterministic structural rule found no blocker; this is not human or substantive validation."
      },
      {
        "check": "sourceIndependence",
        "status": "PASS",
        "finding": "The deterministic structural rule found no blocker; this is not human or substantive validation."
      },
      {
        "check": "locatorSufficiency",
        "status": "PASS",
        "finding": "The deterministic structural rule found no blocker; this is not human or substantive validation."
      },
      {
        "check": "conflictingEvidence",
        "status": "PASS",
        "finding": "The deterministic structural rule found no blocker; this is not human or substantive validation."
      },
      {
        "check": "alternativeExplanations",
        "status": "PASS",
        "finding": "The deterministic structural rule found no blocker; this is not human or substantive validation."
      },
      {
        "check": "causalOverstatement",
        "status": "PASS",
        "finding": "The deterministic structural rule found no blocker; this is not human or substantive validation."
      },
      {
        "check": "populationOrJurisdictionMismatch",
        "status": "PASS",
        "finding": "The deterministic structural rule found no blocker; this is not human or substantive validation."
      },
      {
        "check": "unsupportedGeneralization",
        "status": "PASS",
        "finding": "The deterministic structural rule found no blocker; this is not human or substantive validation."
      },
      {
        "check": "missingLimitations",
        "status": "PASS",
        "finding": "The deterministic structural rule found no blocker; this is not human or substantive validation."
      }
    ],
    "semantics": "Deterministic structural checks only; not deterministic evidence assessment, expert approval, truth, reliability, credibility, confidence, or probability."
  },
  "componentMetrics": {
    "locatorCompleteness": {
      "metricId": "LOCATOR_COMPLETENESS",
      "numerator": 2,
      "denominator": 2,
      "range": "0/2–2/2",
      "formula": "count satisfying the named rule / count to which the rule applies",
      "interpretation": "Exact locators present for applicable evidence records.",
      "limitations": "Does not assess whether a source proves the claim.",
      "publicationBlocking": true
    },
    "sourceCoverage": {
      "metricId": "SOURCE_COVERAGE",
      "numerator": 1,
      "denominator": 1,
      "range": "0/1–1/1",
      "formula": "count satisfying the named rule / count to which the rule applies",
      "interpretation": "Presence of at least one confirmatory record.",
      "limitations": "Official status does not automatically confirm a claim.",
      "publicationBlocking": true
    },
    "counterevidenceHandling": {
      "metricId": "COUNTEREVIDENCE_HANDLING",
      "numerator": 1,
      "denominator": 1,
      "range": "0/1–1/1",
      "formula": "count satisfying the named rule / count to which the rule applies",
      "interpretation": "Visibility of at least one countervailing or limiting record.",
      "limitations": "Visibility does not resolve a conflict.",
      "publicationBlocking": true
    },
    "claimToEvidenceTraceability": {
      "metricId": "CLAIM_TO_EVIDENCE_TRACEABILITY",
      "numerator": 3,
      "denominator": 3,
      "range": "0/3–3/3",
      "formula": "count satisfying the named rule / count to which the rule applies",
      "interpretation": "Evidence records refer to the bounded claim.",
      "limitations": "Traceability is not support.",
      "publicationBlocking": true
    },
    "mechanismResolution": {
      "metricId": "MECHANISM_RESOLUTION",
      "numerator": 0,
      "denominator": 1,
      "range": "0/1–1/1",
      "formula": "count satisfying the named rule / count to which the rule applies",
      "interpretation": "Required mechanism resolved or not applicable.",
      "limitations": "Resolution requires qualifying direct evidence.",
      "publicationBlocking": true
    },
    "relationshipResolution": {
      "metricId": "RELATIONSHIP_RESOLUTION",
      "numerator": 1,
      "denominator": 1,
      "range": "0/1–1/1",
      "formula": "count satisfying the named rule / count to which the rule applies",
      "interpretation": "Required relationship resolved or not applicable.",
      "limitations": "Computational closeness cannot resolve relationship type.",
      "publicationBlocking": true
    },
    "missingEvidenceBurden": {
      "metricId": "MISSING_EVIDENCE_BURDEN",
      "value": 119,
      "range": "0–unbounded count",
      "formula": "count of explicitly required evidence records still missing",
      "interpretation": "Higher values indicate more missing mandatory evidence.",
      "limitations": "Absence is not falsity.",
      "publicationBlocking": true
    },
    "criticPrecheckCompletion": {
      "metricId": "CRITIC_PRECHECK_COMPLETION",
      "numerator": 11,
      "denominator": 11,
      "range": "0/11–11/11",
      "formula": "count satisfying the named rule / count to which the rule applies",
      "interpretation": "Deterministic critic checks emitted.",
      "limitations": "Completion is not substantive validation.",
      "publicationBlocking": true
    },
    "publicationBlockCount": {
      "metricId": "PUBLICATION_BLOCK_COUNT",
      "value": 2,
      "range": "0–unbounded count",
      "formula": "count of active blocking-rule results",
      "interpretation": "Zero is required for automated publication readiness.",
      "limitations": "Zero blockers means machine-checkable editorial gates passed, not that the claim is true.",
      "publicationBlocking": true
    }
  },
  "appliedRules": [
    {
      "ruleId": "AEQ-BOUND-001",
      "result": "PASS",
      "basis": "Bounded v7.15 claim fields."
    },
    {
      "ruleId": "AEQ-SOURCE-001",
      "result": "PASS",
      "basis": "1 confirmatory record(s)."
    },
    {
      "ruleId": "AEQ-COUNTER-001",
      "result": "PASS",
      "basis": "2 countervailing/limiting record(s)."
    },
    {
      "ruleId": "AEQ-LOCATOR-001",
      "result": "PASS",
      "basis": "2/2 applicable records have exact locators."
    },
    {
      "ruleId": "AEQ-NOMATCH-001",
      "result": "PASS",
      "basis": "1 structured NO_MATCH record(s)."
    },
    {
      "ruleId": "AEQ-REL-001",
      "result": "PASS",
      "basis": "0 unresolved required relationship(s)."
    },
    {
      "ruleId": "AEQ-MECH-001",
      "result": "BLOCK",
      "basis": "1 unresolved required mechanism(s)."
    },
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      "ruleId": "AEQ-SUBSET-001",
      "result": "BLOCK",
      "basis": "119 required subset-evidence records remain missing."
    },
    {
      "ruleId": "AEQ-CRITIC-001",
      "result": "PASS",
      "basis": "11/11 deterministic critic checks emitted findings."
    },
    {
      "ruleId": "AEQ-PROV-001",
      "result": "PASS",
      "basis": "Input hashes and versioned provenance are recorded."
    },
    {
      "ruleId": "AEQ-SCHEMA-001",
      "result": "PASS",
      "basis": "Record produced under the controlled v7.16 schema."
    }
  ],
  "blockingReasons": [
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  ],
  "nonBlockingCautions": [
    "NO_MATCH_IS_SEARCH_EVIDENCE_ONLY; it does not make the claim false.",
    "CONTEXT_ONLY_RECORD_DOES_NOT_CONFIRM_THE_CLAIM."
  ],
  "assessmentStatus": "AUTOMATED_ASSESSMENT_COMPLETE",
  "finalAutomatedState": "PUBLICATION_BLOCKED",
  "maturity": {
    "automatedAssessment": "NOT_IN_SCOPE",
    "deterministicallyEvaluated": "NOT_IN_SCOPE",
    "evidenceSupported": "NOT_ESTABLISHED",
    "corroborated": "NOT_ESTABLISHED",
    "verified": "NOT_ESTABLISHED",
    "truthStatus": "NOT_ASSESSED",
    "expertApproved": "NOT_ASSESSED",
    "independentlyValidated": "NOT_ASSESSED"
  },
  "doesNotEstablish": [
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    "AUTOMATED_ASSESSMENT",
    "EXPERT_APPROVAL",
    "INDEPENDENT_VALIDATION",
    "CORROBORATION",
    "VERIFICATION",
    "PROBABILITY",
    "CREDIBILITY_SCORE"
  ],
  "provenance": {
    "inputRecordPath": "data/evidence-pilot-v715/records/k7-a9740b207405e659e26d.v1.json",
    "inputRecordSha256": "245b7566e385908c3e3e21ccdbf2602f7a34b2ac5821eac7c1d90c65a95b259b",
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    "sourceRecordIdentifiers": [
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    "ruleVersion": "wsmusings.automated-evidence-quality-engine.v1",
    "schemaVersion": "wsmusings.automated-evidence-assessment.v1",
    "predecessorCommit": "d6ff87ab1311b5dffca1c42b5e68b5758498f327",
    "predecessorTree": "b3ccdb348d3195a0ecee3263eb1ee36d265660fc"
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}