{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000359258,0.0001473934,0.0001552405,0.001119593,0.002240397,0.002292329,0.0005081238,0.0008738176,0.01374466],"category_scores_gemma":[0.001261418,0.0001892811,0.000137362,0.001801364,0.0005539487,0.0004401508,0.000610334,0.001165701,0.0006942258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03108813,"about_ca_system_score_gemma":0.03116329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9779153,"about_ca_topic_score_gemma":0.991922,"domain_scores_codex":[0.9993688,0.00003464368,0.00001440492,0.00005086384,0.000205105,0.0003261375],"domain_scores_gemma":[0.9988611,0.0001687432,0.00006570774,0.00002639876,0.0005426708,0.0003355087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000330672,0.0002691774,0.2404701,0.0003781498,0.00005296421,0.003966758,0.004493664,0.004228244,0.001403004,0.1396608,0.4186971,0.1860494],"study_design_scores_gemma":[0.00002740375,0.00004406833,0.4760861,0.0003413861,0.00003191513,0.0003691889,0.008427165,0.003043388,0.0004754397,0.004220272,0.5068768,0.0000568364],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6129552,0.01317725,0.0005138572,0.02648968,0.0004535544,0.00009542223,0.006769193,0.00007270731,0.3394732],"genre_scores_gemma":[0.7876288,0.004870439,0.0002635325,0.002466956,0.0001013093,0.0000317711,0.001525639,0.00002720106,0.2030843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03108813,"threshold_uncertainty_score":0.2255612,"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."}}