{"id":"W2965031482","doi":"10.7202/1062464ar","title":"A Comparison of Automobile Insurance Regimes in Canada","year":2019,"lang":"en","type":"article","venue":"Assurances et gestion des risques","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Jurisdiction; Automobile insurance; Demographic economics; Private insurance; Business; Geography; Economics; Actuarial science; Political science; Health insurance; Law; Economic growth","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":[0.000800762,0.000336803,0.0004387468,0.005720895,0.003849795,0.0024377,0.001158038,0.000429419,0.00401848],"category_scores_gemma":[0.003628277,0.0003254861,0.0007576914,0.009504328,0.001038476,0.0005162359,0.001172383,0.0007053027,0.0003101158],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08895686,"about_ca_system_score_gemma":0.08432422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9986816,"about_ca_topic_score_gemma":0.9994037,"domain_scores_codex":[0.9973916,0.00008565021,0.0001178679,0.0001885017,0.001155688,0.001060773],"domain_scores_gemma":[0.9954522,0.0002015945,0.0004072659,0.00009136237,0.002907815,0.0009398098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004172114,0.00009001584,0.8850238,0.0004353618,0.0003965308,0.000748865,0.007323476,0.00227559,0.001912859,0.01188266,0.02263448,0.06685901],"study_design_scores_gemma":[0.00001084872,0.00002498913,0.9775213,0.0001265314,0.00005732417,0.00009103221,0.004627715,0.0005366805,0.0001974585,0.0001352947,0.01662923,0.00004143729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246664,0.004761955,0.0003808675,0.00223367,0.00007191123,0.0001007757,0.0121039,0.00009053877,0.05559009],"genre_scores_gemma":[0.988725,0.001978953,0.0003869708,0.000313255,0.000008844595,0.00002171629,0.003556822,0.0000266295,0.004981756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9110432,"threshold_uncertainty_score":0.6454302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489852769408852,"score_gpt":0.2526227904608992,"score_spread":0.2377242627668107,"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."}}