{"id":"W2351779195","doi":"10.1007/s10198-016-0803-4","title":"Economies of scale: body mass index and costs of cardiac surgery in Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"The European Journal of Health Economics","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston General Hospital; Institute for Clinical Evaluative Sciences; Queen's University","funders":"Institute for Clinical Evaluative Sciences","keywords":"Underweight; Overweight; Medicine; Body mass index; Obesity; Population; Cardiac surgery; Emergency medicine; Health care; Indirect costs; Demography; Environmental health; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0006634694,0.000371939,0.000606688,0.001648265,0.002579159,0.002084401,0.001537161,0.0009637336,0.005739072],"category_scores_gemma":[0.003954981,0.0004737251,0.001234292,0.005058439,0.001009754,0.0006724006,0.001300929,0.001556265,0.0002573259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09124394,"about_ca_system_score_gemma":0.09748238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990209,"about_ca_topic_score_gemma":0.9994736,"domain_scores_codex":[0.9987745,0.0001046361,0.0001026704,0.0001061613,0.0003726792,0.0005393698],"domain_scores_gemma":[0.9951335,0.0003709883,0.0009637227,0.00009677327,0.001491551,0.001943526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003225523,0.0001377853,0.966931,0.0001634526,0.0003426351,0.0007149518,0.001059486,0.002692754,0.0001286683,0.003738839,0.01364433,0.01012356],"study_design_scores_gemma":[0.00006657264,0.00002725416,0.9902586,0.0001497079,0.0001126177,0.0001508386,0.002194831,0.002013417,0.00003719892,0.0003717014,0.004574609,0.00004262332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950409,0.006038597,0.0002688307,0.01165879,0.000132944,0.0001078286,0.01914479,0.00002660255,0.01221272],"genre_scores_gemma":[0.9901939,0.002589244,0.0001791942,0.0003342663,0.00003602502,0.00001947551,0.002336853,0.00001047667,0.004300506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09124394,"threshold_uncertainty_score":0.6620242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923153087894948,"score_gpt":0.2514023639955613,"score_spread":0.2221708331166118,"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."}}