{
 "@context": "https://schema.org",
 "@type": "DefinedTerm",
 "@id": "https://wulfkaal.github.io/entities/accuracy",
 "identifier": "kaal:entity:accuracy",
 "name": "Accuracy",
 "termCode": "accuracy",
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 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
 },
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   "value": "derived"
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   "value": 3
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   "value": [
    "2025",
    "2026"
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  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/5541658-005",
   "identifier": "kaal:claim:5541658-005",
   "text": "AI models applied to the European Court of Human Rights have achieved 97% accuracy in predicting case outcomes under Article 6, which the authors treat as evidence of their potential as judicial decision support tools rather than as replacements for judges.",
   "abstract": "AI models applied to the European Court of Human Rights (ECHR) have achieved 97% accuracy in predicting case outcomes under Article 6, demonstrating their potential as decision-support tools.",
   "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658",
   "datePublished": "2025",
   "claim_type": "empirical",
   "confidence": "evidenced",
   "is_failure_mode": false,
   "scope_conditions": [
    "European Court of Human Rights",
    "Article 6 cases",
    "prediction against existing judgments"
   ],
   "source_pdf_sha256": "e543a2d698fcd522d4d02e034cc9ee1344d0015d2c824b40b9e05ab7c0728c60",
   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/7598518-029",
   "identifier": "kaal:claim:7598518-029",
   "text": "Three validator families share a mean accuracy of 0.75 while differing in structure: one is homogeneous at 0.75, one has each validator reliable at 0.90 on two hash-drawn tags and at 0.60 on the other two so that domain-scoped reputation has something to find, and one has five validators at 0.90 and fifteen at 0.70, a competent minority.",
   "abstract": "Intelligence models increasingly learn from data that earlier Intelligence models produced, and when that loop repeats the rare cases disappear first. This paper preregisters a test of whether a reputation-weighted validator pool, filtering the training data of a recursive replacement loop, keeps those rare cases alive. The outcomes remain sealed until a replication of the original model-collapse result succeeds.",
   "citation": "Wulf A. Kaal, Can Reputation Prevent Model Collapse? A Preregistered Test of Reputation-Weighted Data Filtering (2026). SSRN: https://ssrn.com/abstract=7598518",
   "datePublished": "2026",
   "claim_type": "design",
   "confidence": "stated",
   "is_failure_mode": false,
   "scope_conditions": [
    "The validators are simulated and err independently given their accuracy, which depends only on the tag.",
    "The families are a property of the design, fixed before any run."
   ],
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   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/7598518-044",
   "identifier": "kaal:claim:7598518-044",
   "text": "Because the simulated validators err independently given an accuracy that depends only on the tag, shared lineage, correlated errors, and error that depends on whether content is rare are excluded by construction, and the study supplies no evidence about correlated assessors or about reputation concentrating in a lineage.",
   "abstract": "Intelligence models increasingly learn from data that earlier Intelligence models produced, and when that loop repeats the rare cases disappear first. This paper preregisters a test of whether a reputation-weighted validator pool, filtering the training data of a recursive replacement loop, keeps those rare cases alive. The outcomes remain sealed until a replication of the original model-collapse result succeeds.",
   "citation": "Wulf A. Kaal, Can Reputation Prevent Model Collapse? A Preregistered Test of Reputation-Weighted Data Filtering (2026). SSRN: https://ssrn.com/abstract=7598518",
   "datePublished": "2026",
   "claim_type": "condition",
   "confidence": "stated",
   "is_failure_mode": true,
   "scope_conditions": [
    "The exclusion is a property of the simulation, not an observed null.",
    "Correlated assessors are among the conditions a reputation mechanism would face in deployment."
   ],
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  }
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 "description": "3 claims in the published works of Wulf A. Kaal carry the concept tag 'accuracy'. Derived node: a roster, not an adjudicated definition."
}