{"id":"W7100597387","doi":"","title":"DRAFT Please do not quote without the permission of the authors. The Relationship between Liability Costs and Government Health Spending","year":2008,"lang":"en","type":"article","venue":"","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compensation (psychology); Government (linguistics); Liability; Liability insurance; Casualty insurance; Variety (cybernetics); Permission; Insurance policy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001003256,0.000508993,0.0003955531,0.002144628,0.001269345,0.003547702,0.0009011423,0.001066034,0.4863151],"category_scores_gemma":[0.01822535,0.0003540881,0.0005507185,0.003386537,0.0006885119,0.001992888,0.0009482689,0.002025833,0.3348639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472745,"about_ca_system_score_gemma":0.001837564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02653137,"about_ca_topic_score_gemma":0.03483177,"domain_scores_codex":[0.9991288,0.0001280779,0.0000802412,0.0001192185,0.0004017875,0.0001419766],"domain_scores_gemma":[0.9928142,0.001847812,0.0003885682,0.0009713979,0.003782193,0.0001957869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000219174,0.00001633716,0.0004970673,0.0001000336,0.000006387847,0.0000450813,0.0002374006,0.0000675249,0.0001280202,0.01089318,0.9710335,0.01695364],"study_design_scores_gemma":[0.000007922294,0.000007942393,0.002165535,0.00008203696,0.000003743369,0.00004414371,0.0003163671,0.00008608009,0.0002577141,0.001605042,0.9954166,0.000006896123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003307557,0.0009988771,0.003397117,0.01109486,0.009872428,0.0003525437,0.03912989,0.001012244,0.9308345],"genre_scores_gemma":[0.02577752,0.00243023,0.003501761,0.002259202,0.001072666,0.0003616847,0.02357287,0.001183217,0.9398409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4863151,"threshold_uncertainty_score":0.7327091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08774161830497768,"score_gpt":0.2693396171586416,"score_spread":0.181597998853664,"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."}}