{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001398461,0.0001793485,0.0003621194,0.001602949,0.002565811,0.001883307,0.001096694,0.0009799765,0.005404798],"category_scores_gemma":[0.002843663,0.0002028285,0.0004580441,0.002368828,0.001100739,0.0004523225,0.0006929824,0.001104192,0.0002668066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03705598,"about_ca_system_score_gemma":0.02150258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9846779,"about_ca_topic_score_gemma":0.9888309,"domain_scores_codex":[0.9984751,0.0001616677,0.00005392963,0.0001776489,0.0004280998,0.0007034531],"domain_scores_gemma":[0.9957379,0.0006073941,0.0008845403,0.0001327351,0.001786278,0.0008510784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007919846,0.0004784942,0.7892398,0.000208592,0.0003739836,0.001591239,0.005738731,0.01176492,0.00291472,0.07295439,0.05601924,0.05792393],"study_design_scores_gemma":[0.00003733972,0.00003660249,0.9691528,0.00004987267,0.0000428258,0.00006341968,0.002038105,0.004714855,0.0003295988,0.0005541627,0.02292438,0.00005599308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700714,0.001383654,0.0005336666,0.003233389,0.00004278773,0.00003413063,0.001890774,0.00004146014,0.02276879],"genre_scores_gemma":[0.9817378,0.0002990194,0.0002430336,0.0003930528,0.00001292452,0.00001924646,0.0008008663,0.00001204115,0.016482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03705598,"threshold_uncertainty_score":0.2688612,"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."}}