{"id":"W4237465550","doi":"10.2139/ssrn.587968","title":"Management Forecasts, Litigation Risk, and Regulation FD","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Risk management; Actuarial science; Economics; 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":[0.004486585,0.0001966831,0.0003893768,0.001166581,0.0006658603,0.003816207,0.0004325451,0.002951796,0.01029256],"category_scores_gemma":[0.04215314,0.000169639,0.0002507463,0.0007339848,0.0008879991,0.00248588,0.0005021019,0.001806004,0.0009325689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002145935,"about_ca_system_score_gemma":0.001198743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01071506,"about_ca_topic_score_gemma":0.008105092,"domain_scores_codex":[0.9989254,0.0002732464,0.00006113836,0.0001981635,0.0003391416,0.0002029998],"domain_scores_gemma":[0.9651576,0.023136,0.007411889,0.0007789558,0.002534881,0.0009807295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001020943,0.0006984583,0.3103052,0.0001392242,0.0002089379,0.0005891146,0.001720801,0.06348392,0.001349389,0.3882066,0.07808977,0.1541876],"study_design_scores_gemma":[0.0001689828,0.0004043376,0.3162475,0.0002506314,0.0002019572,0.0003345936,0.002244225,0.1483856,0.001155872,0.4954999,0.03491497,0.0001915649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8277038,0.006870875,0.01826551,0.03837829,0.0006773393,0.00004814481,0.001366082,0.0002770305,0.1064129],"genre_scores_gemma":[0.9945358,0.0005575507,0.0002964308,0.000267153,0.000200477,0.000008081596,0.0001291697,0.000006329866,0.003998947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01071506,"threshold_uncertainty_score":0.03443205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00773480267002904,"score_gpt":0.185416967556218,"score_spread":0.1776821648861889,"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."}}