{"id":"W2152228568","doi":"10.2337/diacare.26.4.1116","title":"International Comparison of Health Resource Utilization in Subjects With Diabetes","year":2003,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes Management and Education","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"Fondation pour la Recherche Médicale","keywords":"Medicine; National Health Interview Survey; Diabetes mellitus; Public health; Logistic regression; Odds ratio; Residence; Health care; Confounding; Environmental health; Family medicine; Gerontology; Demography; Population; Nursing; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00114644,0.0002763317,0.0004112594,0.001909576,0.000628036,0.0007344325,0.0004945723,0.0003074991,0.0009945997],"category_scores_gemma":[0.00284727,0.0001264957,0.0005562709,0.003886019,0.0003677764,0.0002365509,0.0005668019,0.0003656885,0.0001582194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582319,"about_ca_system_score_gemma":0.001862776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.493848,"about_ca_topic_score_gemma":0.4792489,"domain_scores_codex":[0.9989235,0.0002123605,0.0001244484,0.0001999056,0.0003182162,0.0002215997],"domain_scores_gemma":[0.9983712,0.0001633201,0.0005340122,0.00008015758,0.0005905888,0.000260735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000924268,0.00001066692,0.9977058,0.00001655119,0.0001744136,0.00001800121,0.00008118486,0.00004186442,0.00003922714,0.00003114367,0.0002269534,0.001561917],"study_design_scores_gemma":[0.000003148285,0.00001187422,0.9995508,0.000008098966,0.00002113284,0.00002868691,0.000140974,0.00004227579,0.00001327876,0.000006759708,0.0001709667,0.000002027203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931245,0.001448895,0.0001121729,0.00009160842,0.00001871775,0.00002400708,0.003183402,0.000006188869,0.001990532],"genre_scores_gemma":[0.9959638,0.0005765757,0.00008359281,0.00004689664,0.00001265804,0.00001411691,0.003129357,0.000003131562,0.0001697519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.493848,"threshold_uncertainty_score":0.981947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03050937712225001,"score_gpt":0.3078706127044543,"score_spread":0.2773612355822043,"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."}}