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 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7135",
 "identifier": "kaal:position:2026-07-31-7135",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Superjustice Bac47D0196",
 "text": "Superjustice presents the following source proposition: At the same time, advancements in artificial intelligence (AI) offer unprecedented opportunities for legal transformation. This proposition is pertinent to Kaal's source-bound claim that Transparent, explainable models such as those built for the European Court of Human Rights, which paired 97% accuracy with digestible explanations, provide the design template for addressing legal AI's transparency problem. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
 },
 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "extension",
 "keywords": [
  "ai-and-agents",
  "disclosure",
  "historical-response",
  "scholarly-literature",
  "semantic-scholar"
 ],
 "scope_conditions": [
  "The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.",
  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.37.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "Superjustice",
  "url": "https://www.semanticscholar.org/paper/f89bb04494e673aa6df4594bc0967f9207414a61"
 },
 "extends": {
  "identifier": "kaal:claim:5541658-015",
  "url": "https://wulfkaal.github.io/claims/5541658-015",
  "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658",
  "paper": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5541658",
  "source_pdf_sha256": "e543a2d698fcd522d4d02e034cc9ee1344d0015d2c824b40b9e05ab7c0728c60"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/5541658-015"
  },
  {
   "@type": "CreativeWork",
   "name": "Superjustice",
   "url": "https://www.semanticscholar.org/paper/f89bb04494e673aa6df4594bc0967f9207414a61"
  }
 ],
 "batch_id": "kaal-review:2026-07-31:streaming-etl-0007",
 "review_provenance": "https://kaal-signal-desk.wulf577462.chatgpt.site/#review",
 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-7135",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7135.md",
 "candidateId": "kaal:response-draft:2026-07-31:fdd881081c0c90f6c4ca",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.37,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: artificial, intelligence, offer, legal. Scope: systems using computational models of argument to generate legally grounded explanations.",
 "sourceProvenance": {
  "source": "semantic-scholar",
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  "queryId": "concept:b78ed75f4a0b",
  "queryText": "decentralization governance",
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  "doi": "10.1093/9780198991885.001.0001",
  "externalIds": {
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  "workAuthors": [
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    "claimUrl": "https://wulfkaal.github.io/claims/5541658-015",
    "rank": 1,
    "confidence": 0.37,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: artificial, intelligence, offer, legal. Scope: systems using computational models of argument to generate legally grounded explanations.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5541658-028",
    "claimUrl": "https://wulfkaal.github.io/claims/5541658-028",
    "rank": 2,
    "confidence": 0.37,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: artificial, intelligence, offer, legal. Scope: governance of AI where jurisdictional variability and implementation gaps defeat conventional regulation.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/5541658-008",
    "rank": 3,
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: same, artificial, intelligence, legal. Scope: legal judgment prediction systems trained and evaluated on published judgments.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5095633-010",
    "claimUrl": "https://wulfkaal.github.io/claims/5095633-010",
    "rank": 4,
    "confidence": 0.325,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: artificial, intelligence, offer. Scope: deployment context differs from the demographic composition of the training data.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/5095633-031",
    "rank": 5,
    "confidence": 0.325,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: artificial, intelligence, offer. Scope: highly contextual, iterative, and ethically sensitive dataset tasks; continuous compliance with evolving legal standards.",
    "ambiguous": true
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 "userAffirmation": "I affirm batch kaal-review:2026-07-31:streaming-etl-0007, SHA-256 bf2213ee9446b647b40daf2de1dd804cd8b36c263bf153c654dd31f4a135b831, as written and authorize publication of all 154 response claims on my canonical property, preserving their evidence levels, ambiguity labels, provenance, and the unchanged 5,033 scholarly claims.",
 "sha256": "2849dada6a118793f0a67c298f32751e1f5aaca20ce9adb0e61c11e7ab924383"
}
