{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000329097,0.0001469985,0.0001917362,0.00005799728,0.00005450241,0.00002567516,0.0001258635,0.0001769473,0.00001662564],"category_scores_gemma":[0.0003863398,0.0001313294,0.00006343134,0.0001683321,0.00007637368,0.0002913356,0.00001327571,0.0002162324,0.00002447463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002797109,"about_ca_system_score_gemma":0.00004196901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006931174,"about_ca_topic_score_gemma":0.005511507,"domain_scores_codex":[0.9990441,0.00004864938,0.000309173,0.0002018545,0.0001531664,0.0002431106],"domain_scores_gemma":[0.9993956,0.0002770061,0.00002927446,0.0001557085,0.00005674833,0.00008564191],"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":[0.0001094328,0.0002161391,0.08932802,0.0001700894,0.00007395965,0.000008901344,0.001919722,0.818768,0.0004083408,0.002764444,0.001417581,0.08481535],"study_design_scores_gemma":[0.001613587,0.00009469308,0.9564611,0.0003247728,0.00001838272,0.000005719947,0.000064304,0.02863998,0.001475202,0.002871435,0.008126318,0.0003045246],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854379,0.0005452479,0.005098983,0.003634779,0.0003731466,0.0003983655,0.000009859333,0.0003642877,0.004137428],"genre_scores_gemma":[0.9968964,0.0004549924,0.002328318,0.00007493253,0.00004720149,0.00008444161,0.00001704584,0.00002465891,0.00007198395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8671331,"threshold_uncertainty_score":0.5355456,"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."}}