{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001071613,0.0001074503,0.0002632026,0.00005099798,0.00001488446,0.000006815337,0.0001050281,0.00005023842,0.00003593671],"category_scores_gemma":[0.00001599094,0.0001005524,0.0000264238,0.0001857882,0.00003118203,0.0001620845,0.000008348115,0.0001464307,0.00001131168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164151,"about_ca_system_score_gemma":0.0001042172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1651955,"about_ca_topic_score_gemma":0.5931508,"domain_scores_codex":[0.9992605,0.00004462416,0.0002702792,0.000116313,0.0001490925,0.0001591825],"domain_scores_gemma":[0.9996259,0.0001289954,0.00004529111,0.0001371911,0.00003256269,0.00003008304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000007535056,0.00001164156,0.4512576,0.00009327637,0.000009664899,0.000001063119,0.0002940086,0.5332313,0.000117257,0.00009227885,0.001235875,0.01364852],"study_design_scores_gemma":[0.0002200282,0.00002403506,0.8966985,0.0001794009,0.0000027394,0.000001540282,0.0002810484,0.09737866,0.002403183,0.00003785676,0.002643512,0.0001294996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830561,0.001779439,0.0001012271,0.000105515,0.0002965271,0.0001209815,0.00001877563,0.0001221337,0.01439928],"genre_scores_gemma":[0.9990628,0.000357792,0.0004219322,0.00001061084,0.00001081501,0.00001119503,0.000006537266,0.00001357177,0.0001047041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4454409,"threshold_uncertainty_score":0.8403635,"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."}}