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 "name": "Historical 86F6A08Dafe7Fc1D821A",
 "text": "Legal identification of medical artificial intelligence algorithm should be assessed against Kaal's source-bound claim that Moral hazard in hedge fund lending persists even when the lender is fully informed, because high enforcement costs can make prevention too costly for the lender. The current metadata indicates a plausible connection through algorithmic regulation, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "qualification",
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  "compliance",
  "private-funds",
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  "enforcement costs are high relative to expected loss",
  "External evidence level: abstract indexed.",
  "Mapping review tier: ambiguity triage before claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
 ],
 "currentDebate": {
  "name": "Legal identification of medical artificial intelligence algorithm",
  "url": "https://www.semanticscholar.org/paper/6e8d299919f6942ddea29af844bdbe303e3b1b5e"
 },
 "extends": {
  "identifier": "kaal:claim:3405660-002",
  "url": "https://wulfkaal.github.io/claims/3405660-002",
  "citation": "Kaal, Indirect Regulation of Hedge Funds (2019). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3405660",
  "paper": "Indirect Regulation of Hedge Funds",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2019",
  "ssrn": "",
  "source_pdf_sha256": "cf507b1833071765bc13a5605f38c2591582eca85f40869e38b6ff075c04d29d"
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   "@type": "CreativeWork",
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   "url": "https://www.semanticscholar.org/paper/6e8d299919f6942ddea29af844bdbe303e3b1b5e"
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 ],
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 "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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 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-5055.md",
 "candidateId": "kaal:response-candidate:2026-07-31:51da4d63ffc5fe18",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "ambiguity triage before claim review",
 "mappingConfidence": 0.2118,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: activities, risk, prevention, regulation, make. Scope: lender to hedge fund relationship; enforcement costs are high relative to expected loss.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "algorithmic regulation",
  "queryId": "concept:dda0987aa1ad",
  "page": 1,
  "sourceRank": 111,
  "retrievedAt": "2026-07-31T13:58:30.108Z",
  "citationCount": 0,
  "venue": "Wonkwang University Legal Research Institute",
  "publicationTypes": [
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 "userAffirmation": "Approved as written by Wulf A. Kaal on 2026-07-31.",
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