{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0145942,0.0002771966,0.0004177561,0.0007570951,0.0003189744,0.0007321872,0.0004292263,0.0002295365,0.0007351538],"category_scores_gemma":[0.004848766,0.000249276,0.0000978012,0.0034696,0.0007315513,0.001774408,0.000105047,0.0003039727,0.001448082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649205,"about_ca_system_score_gemma":0.0001957488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183397,"about_ca_topic_score_gemma":0.004679809,"domain_scores_codex":[0.9942976,0.001501999,0.0008919125,0.0008929315,0.001830517,0.0005850517],"domain_scores_gemma":[0.9962491,0.002328571,0.0002638501,0.0004343704,0.0005619525,0.0001621661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004677125,0.00007691322,0.1828243,0.00006294446,0.00001524838,0.00001842928,0.003012314,0.02117431,0.000424959,0.001627306,0.03626337,0.7544531],"study_design_scores_gemma":[0.0006628233,0.0001107886,0.7383904,0.0006071551,0.00001681557,0.000008820095,0.001298659,0.1491716,0.0005124214,0.04752787,0.06136519,0.0003275305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9323466,0.01455417,0.0004332357,0.02953314,0.004413161,0.0005722042,0.00007099988,0.0002412376,0.01783519],"genre_scores_gemma":[0.9622235,0.006928898,0.0006980575,0.0001427535,0.0001268507,0.00007536326,0.00002671327,0.00001764594,0.02976025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7541256,"threshold_uncertainty_score":0.9999959,"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."}}