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 "name": "Streaming Ai Enabled Esg Scoring Models For Corporate Governance 89455C40B7",
 "text": "AI-Enabled ESG Scoring Models for Corporate Governance presents the following source proposition: The conventional methods of the ESG evaluation are inconsistent, subjective, and not standardized. This proposition is pertinent to Kaal's source-bound claim that Prior scholarship on the corporate governance effects of non and deferred prosecution agreements rests largely on anecdotal evidence and individual case studies rather than on systematic evidence, which is why its conclusions about those effects are unreliable. 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.",
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.4653.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "name": "AI-Enabled ESG Scoring Models for Corporate Governance",
  "url": "https://doi.org/10.4018/979-8-3373-5891-8.ch004"
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  "citation": "Wulf A. Kaal, Timothy Lacine, The Effect of Deferred and Non-Prosecution Agreements on Corporate Governance Evidence from 1993-20 (2014). SSRN: https://ssrn.com/abstract=2486570",
  "paper": "Wulf A. Kaal, Timothy Lacine, The Effect of Deferred and Non-Prosecution Agreements on Corporate Governance Evidence from 1993-20",
  "authors": [
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  "year": "2014",
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