{"id":"W4390021970","doi":"10.7202/1106942ar","title":"Automobile Insurance in British Columbia:Autoplan Turns Thirty","year":2023,"lang":"en","type":"article","venue":"Assurances et gestion des risques","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Underinsured; Closing (real estate); Automobile insurance; Liability insurance; Accident insurance; Business; Statutory law; Actuarial science; Insurance policy; Casualty insurance; General insurance; Liability; Crash; Finance; Law; Health insurance; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001212197,0.0001582616,0.0004730069,0.0002335488,0.0001512533,0.0004518838,0.0002957463,0.0001633749,0.0001722638],"category_scores_gemma":[0.0002743676,0.0002713484,0.000118136,0.001153822,0.0001397584,0.0007413761,0.00006920754,0.0002885033,0.0009178909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001429165,"about_ca_system_score_gemma":0.00002228989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02600159,"about_ca_topic_score_gemma":0.1269526,"domain_scores_codex":[0.9980677,0.00005986131,0.0006986193,0.0005669296,0.00009524427,0.0005116662],"domain_scores_gemma":[0.9992295,0.0001124269,0.0002418722,0.0002994279,0.0000536529,0.0000631203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008386838,0.00009276281,0.9475901,0.0001051374,0.00002237723,0.00008157371,0.0007911359,0.003180583,0.000003208416,0.00386628,0.01183757,0.03242093],"study_design_scores_gemma":[0.000463789,0.00005865665,0.8959176,0.0001458041,0.000002193188,0.00000592309,0.000116067,0.002854065,0.000005777783,0.03735694,0.06276215,0.0003110644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618706,0.002269756,0.0001719904,0.0007645647,0.0007075642,0.0003826398,0.0003562233,0.0004241174,0.03305256],"genre_scores_gemma":[0.9849646,0.01006478,0.0003083606,0.0002469685,0.0000923584,0.0001962851,0.00006801015,0.00003460747,0.004024015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1009511,"threshold_uncertainty_score":0.9999739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116076523306827,"score_gpt":0.240616621759484,"score_spread":0.2094558565264157,"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."}}