{"id":"W2560829020","doi":"10.11575/prism/34126","title":"The Relationship Between Automobile Liability Costs and Government Social Spending","year":2011,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compensation (psychology); Government (linguistics); Liability; Business; Actuarial science; Liability insurance; Social insurance; Public economics; Welfare; Casualty insurance; Economics; Insurance policy; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0008606813,0.0001953704,0.0003038395,0.002397958,0.0004926034,0.001431664,0.0004259486,0.0005163259,0.006159924],"category_scores_gemma":[0.01383865,0.0001695893,0.0004451213,0.004050383,0.0007034031,0.0005173686,0.0009066655,0.0010556,0.0005481635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004531896,"about_ca_system_score_gemma":0.002332256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3169988,"about_ca_topic_score_gemma":0.3503913,"domain_scores_codex":[0.9986662,0.0003609177,0.00008051827,0.000101852,0.0003467726,0.000443787],"domain_scores_gemma":[0.9805608,0.007708673,0.006935342,0.000763664,0.002254788,0.001776574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002627919,0.00002395238,0.997062,0.000004775474,0.00005290994,0.00004137204,0.00009608742,0.0005285134,0.00002098871,0.0003177716,0.0003038984,0.001521426],"study_design_scores_gemma":[0.00000174729,0.000009121825,0.9985959,0.000005916379,0.00001344553,0.00002721565,0.0002567602,0.0005525484,0.0000201439,0.0001210447,0.00039355,0.000002551397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942054,0.0002628455,0.00008899309,0.0006574633,0.000004882801,0.000007698724,0.001176505,0.000007815518,0.003588331],"genre_scores_gemma":[0.9980991,0.0001470283,0.00004967003,0.00003117688,0.000008466431,0.000005163214,0.000746875,0.000004134753,0.0009083128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3169988,"threshold_uncertainty_score":0.6303073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08997656135157718,"score_gpt":0.3420477403797084,"score_spread":0.2520711790281313,"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."}}