{"id":"W2044832889","doi":"10.1016/j.clinthera.2007.07.001","title":"Health Care Costs and Mortality for Canadian Urban and Rural Patients with Diabetes: Population-Based Trends from 1993–2001","year":2007,"lang":"en","type":"article","venue":"Clinical Therapeutics","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Institute of Health Economics","funders":"University of Alberta","keywords":"Medicine; Residence; Per capita; Rural area; Population; Demography; Environmental health; Health care; Medical prescription; Public health; Diabetes mellitus; Rural health; Gerontology; Economic growth; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023715,0.000224756,0.0005472025,0.00008877291,0.0008485339,0.00001475158,0.0001163463,0.0003570727,0.00003745626],"category_scores_gemma":[0.00009972294,0.0001843522,0.00005488673,0.0001901475,0.0001292029,0.00005829639,0.00002410877,0.0004667348,0.000003134541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005750344,"about_ca_system_score_gemma":0.0005601471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09691884,"about_ca_topic_score_gemma":0.5130869,"domain_scores_codex":[0.9970076,0.0003599551,0.001011247,0.0003716455,0.0002195633,0.00102996],"domain_scores_gemma":[0.9959509,0.002063219,0.0003605172,0.0003559923,0.0002320545,0.001037259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001481027,0.00004800693,0.9548117,0.0000765884,0.00004224831,3.675576e-7,0.0006180606,0.000001194699,3.51006e-8,0.00008143439,0.0006502956,0.043522],"study_design_scores_gemma":[0.002675647,0.0005814129,0.9718225,0.0002788539,0.00005885164,1.189501e-8,0.0009779799,0.0002621482,1.640258e-7,0.00011523,0.02303824,0.000188973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938995,0.00114084,0.00004327143,0.001820543,0.0006152338,0.001159934,0.001000837,0.00006047071,0.0002593907],"genre_scores_gemma":[0.9768261,0.00004376199,0.001256564,0.0199475,0.0003149458,0.00003330385,0.001481627,0.00004070529,0.00005548956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4161681,"threshold_uncertainty_score":0.9090949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09260251319071314,"score_gpt":0.4829979160866278,"score_spread":0.3903954028959147,"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."}}