{"id":"W4389988159","doi":"10.7202/1092629ar","title":"Insurer Liability for Medically RelatedMotor Vehicle Accident Costs in Alberta","year":2004,"lang":"en","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":"","funders":"","keywords":"Liability; Business; Actuarial science; Occupational safety and health; Liability insurance; Medical emergency; Operations management; Finance; Medicine; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0005648419,0.00008031139,0.0001095871,0.00119441,0.001043028,0.0006185825,0.0007899036,0.0006853986,0.003223097],"category_scores_gemma":[0.002399131,0.0001696747,0.0001796449,0.001263229,0.0003772578,0.0001756395,0.0006734167,0.0005625795,0.0001297992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01367654,"about_ca_system_score_gemma":0.01645041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9512674,"about_ca_topic_score_gemma":0.9780027,"domain_scores_codex":[0.9991425,0.00006035051,0.00003193219,0.00002958556,0.0004532403,0.0002823334],"domain_scores_gemma":[0.9985948,0.0002283701,0.0002960897,0.00002742735,0.0004416237,0.0004117235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003310311,0.0001890532,0.7679874,0.000185031,0.000129756,0.004853396,0.003553234,0.003757339,0.001405501,0.02010301,0.09686656,0.1006388],"study_design_scores_gemma":[0.00002429256,0.00002561308,0.9838219,0.00006562396,0.00002852167,0.0005865884,0.0007109152,0.0009862958,0.0001243697,0.0003232165,0.01328716,0.0000153263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378574,0.00689719,0.000253649,0.008864174,0.000137775,0.00004892251,0.002786034,0.00003421265,0.04312076],"genre_scores_gemma":[0.9869574,0.001878558,0.000149068,0.00062944,0.00004244251,0.000008845318,0.0008803981,0.000004442581,0.009449253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04873258,"threshold_uncertainty_score":0.09923071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257725161163277,"score_gpt":0.2485054067126658,"score_spread":0.2359281551010331,"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."}}