{"id":"W4390033952","doi":"10.7202/1106945ar","title":"AUTOMOBILE INSURANCE IN BC AND ICBC","year":2023,"lang":"fr","type":"article","venue":"Assurances et gestion des risques","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Automobile insurance; Business; Computer security; Computer science; Actuarial science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003834578,0.0002349046,0.0005289997,0.001502296,0.001221983,0.003671387,0.0008475234,0.001199842,0.00701523],"category_scores_gemma":[0.02147214,0.0002294332,0.0005242414,0.002118487,0.00116102,0.001080583,0.001454226,0.003301928,0.000320433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02286879,"about_ca_system_score_gemma":0.01452764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5188681,"about_ca_topic_score_gemma":0.5563634,"domain_scores_codex":[0.994342,0.001283245,0.0001715251,0.0004518078,0.001314531,0.002436879],"domain_scores_gemma":[0.9898189,0.004049241,0.0009180165,0.0003666745,0.002707565,0.002139708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002546857,0.0006967562,0.4193183,0.000249214,0.0002678834,0.001034224,0.00181869,0.08521073,0.0008595737,0.2994206,0.03727759,0.1512994],"study_design_scores_gemma":[0.0002442751,0.0008618242,0.6061006,0.000539322,0.0002764894,0.0009064492,0.008882848,0.1645822,0.002111916,0.05901814,0.1563143,0.0001616217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919578,0.003116103,0.003485233,0.01190584,0.0003398675,0.0001588456,0.002922541,0.00004183588,0.08607206],"genre_scores_gemma":[0.982614,0.0003973101,0.0006775045,0.0005888063,0.00008814278,0.00003029238,0.0004748681,0.00001000771,0.01511907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4811319,"threshold_uncertainty_score":0.9679307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2394011988717824,"score_gpt":0.421326655576879,"score_spread":0.1819254567050966,"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."}}