{"id":"W4399340799","doi":"10.2139/ssrn.4850598","title":"Management Forecasts and Litigation Risk *","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Risk management; Business; Actuarial science; Finance","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":[0.00200836,0.0002854295,0.000292111,0.001059653,0.0003998377,0.002974921,0.0003377424,0.001962054,0.01193295],"category_scores_gemma":[0.03967823,0.0001677917,0.0001853779,0.0008433592,0.0002847467,0.002188617,0.0003444724,0.001557379,0.00201239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008886124,"about_ca_system_score_gemma":0.0004329811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003870029,"about_ca_topic_score_gemma":0.003533849,"domain_scores_codex":[0.9994842,0.0001376611,0.00003678706,0.00007461933,0.0001956518,0.0000710737],"domain_scores_gemma":[0.9753017,0.01564903,0.005310857,0.0004613681,0.00254084,0.0007361688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001389415,0.0005696043,0.40544,0.0002331637,0.0002021508,0.001356675,0.001726473,0.1194736,0.001757147,0.1214665,0.1074817,0.2389036],"study_design_scores_gemma":[0.0001370278,0.00045582,0.3196453,0.0002996519,0.0001550925,0.0006976943,0.002202026,0.3741728,0.001865207,0.266956,0.03321521,0.0001981581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8812551,0.004061615,0.01549451,0.02741077,0.001411005,0.00002717869,0.001760315,0.0003583282,0.06822105],"genre_scores_gemma":[0.9931399,0.0005654254,0.0003500671,0.0001610396,0.0003636518,0.000004853907,0.0003110215,0.00001594659,0.005088018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01193295,"threshold_uncertainty_score":0.03991967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007807234180561017,"score_gpt":0.196925201028362,"score_spread":0.189117966847801,"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."}}