{"id":"W4386927717","doi":"10.7202/1091770ar","title":"ONTARIO AUTO INSURANCE REFORM: A GAME OF “WHACK-A-MOLE”","year":2015,"lang":"fr","type":"article","venue":"Assurances et gestion des risques","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Wilfrid Laurier University","funders":"","keywords":"Moral hazard; Product (mathematics); Actuarial science; Reform Act; Economics; Business; Political science; Public administration; Microeconomics; Incentive","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":[0.002701384,0.0004873763,0.0006138494,0.0004175283,0.004913295,0.004988756,0.001674924,0.006206783,0.010195],"category_scores_gemma":[0.008373379,0.0003898673,0.0005741253,0.0007249104,0.004868205,0.003450676,0.003209221,0.003166801,0.0004433756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05415301,"about_ca_system_score_gemma":0.03092076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7980121,"about_ca_topic_score_gemma":0.908762,"domain_scores_codex":[0.9969517,0.0009092166,0.00005392721,0.0002172902,0.0008428036,0.00102501],"domain_scores_gemma":[0.9975958,0.0009241477,0.0001997393,0.0001083884,0.0003283733,0.0008434969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005247584,0.0002071032,0.008128785,0.0002434849,0.0001161261,0.0009608079,0.00612428,0.01252982,0.001178043,0.8263885,0.1228975,0.02070084],"study_design_scores_gemma":[0.0007995164,0.0004623823,0.03153612,0.0006647966,0.000290221,0.0003263601,0.0138432,0.05840455,0.000974178,0.3153312,0.576988,0.0003793532],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1958859,0.003600516,0.009494234,0.1336726,0.0005171777,0.0005440743,0.001127719,0.00009403878,0.6550638],"genre_scores_gemma":[0.9552908,0.001267465,0.00138899,0.0044178,0.0001225158,0.00012431,0.0001156804,0.00001559799,0.03725679],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2019879,"threshold_uncertainty_score":0.4063549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04021932292468142,"score_gpt":0.2603040896425392,"score_spread":0.2200847667178578,"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."}}