{"id":"W1479979448","doi":"","title":"Commitment and Automobile Insurance Regulation in France, Quebec and Japan","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adverse selection; Automobile insurance; Moral hazard; Actuarial science; Information asymmetry; Insurance policy; Economics; Business; Public economics; Microeconomics; Incentive","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001826227,0.0003420769,0.0008696771,0.000993691,0.0001473458,0.0002067655,0.0003651979,0.0004452391,0.00005724289],"category_scores_gemma":[0.0001351029,0.0004503848,0.00008691374,0.000255904,0.0003132727,0.0002408667,0.0007327091,0.001122309,0.00002436903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007880151,"about_ca_system_score_gemma":0.00009271796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006336495,"about_ca_topic_score_gemma":0.01165695,"domain_scores_codex":[0.9967811,0.00007680283,0.001129373,0.001210428,0.00007976005,0.0007225505],"domain_scores_gemma":[0.9985562,0.0001419086,0.0003747523,0.0007710262,0.00003808727,0.0001180146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004311511,0.0001641092,0.7688674,0.00023224,0.00003475215,0.00001664621,0.0007639525,0.002962345,0.000002571709,0.01759071,0.00005964184,0.2092625],"study_design_scores_gemma":[0.0009689884,0.00005834002,0.8931397,0.0002022509,0.000001688057,0.000002502141,0.0001691379,0.007369099,0.000004577581,0.02369002,0.0739499,0.000443825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309415,0.002825435,0.00001694119,0.000348667,0.0003914025,0.001174436,0.0001398757,0.00002765137,0.06413408],"genre_scores_gemma":[0.9446087,0.04967081,0.0002708495,0.0001025836,0.0001334812,0.0004187163,0.00004756553,0.00005111327,0.004696119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2088187,"threshold_uncertainty_score":0.9997948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507471789057109,"score_gpt":0.2665327121660298,"score_spread":0.2414579942754587,"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."}}