{"id":"W4413790121","doi":"10.2139/ssrn.5410404","title":"A Lawsuit Waiting to Happen: The Use of Non-Financial Metrics by the Investment Industry","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Lawsuit; Investment (military); Business; Finance; Actuarial science; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04623476,0.0002536681,0.0004565961,0.002180223,0.007504619,0.01140036,0.001916507,0.01015899,0.003952354],"category_scores_gemma":[0.1627903,0.0005026727,0.0005109963,0.003528662,0.009364283,0.01341539,0.004948669,0.01829135,0.000789046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004637088,"about_ca_system_score_gemma":0.01127053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03913324,"about_ca_topic_score_gemma":0.05723877,"domain_scores_codex":[0.9667368,0.01560861,0.001658353,0.002653621,0.01119608,0.002146594],"domain_scores_gemma":[0.8314744,0.1166498,0.01779594,0.008475325,0.01717612,0.008428405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001427035,0.0002058468,0.07677052,0.0002255136,0.00007070276,0.001432499,0.07239421,0.0001665588,0.00166854,0.355698,0.2652779,0.2259469],"study_design_scores_gemma":[0.00002863277,0.0002141533,0.09271151,0.002566476,0.00006772708,0.001868396,0.06815843,0.001662956,0.002681279,0.0808244,0.7489167,0.0002992954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.08558527,0.004942888,0.002632406,0.8776453,0.002334054,0.0000241256,0.0001621268,0.00008541431,0.02658848],"genre_scores_gemma":[0.7229376,0.003889986,0.004529955,0.2510077,0.002532092,0.00006901799,0.0001420369,0.0003128687,0.01457868],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04623476,"threshold_uncertainty_score":0.2445157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112039502564178,"score_gpt":0.2381583073567535,"score_spread":0.2170379123311117,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}