{"id":"W1882909926","doi":"10.1111/jrh.12158","title":"Do Rural Patients in Canada Underutilize Preventive Care for Myocardial Infarction?","year":2015,"lang":"en","type":"article","venue":"The Journal of Rural Health","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Institute for Clinical Evaluative Sciences; Statistics Canada; Institute of Population and Public Health; University of Ottawa","funders":"","keywords":"Medicine; Odds; Myocardial infarction; Odds ratio; Logistic regression; Middle age; Cohort; Rural area; Primary care; Gerontology; Cohort study; Demography; Emergency medicine; Family medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002059138,0.0001858437,0.000575842,0.0001009331,0.0005729171,0.000006350219,0.0003534421,0.00009692112,0.00003414151],"category_scores_gemma":[0.0002840183,0.000123633,0.00008705699,0.0002900665,0.00004017688,0.0001847641,0.00008082053,0.0008493236,0.00001100551],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007546629,"about_ca_system_score_gemma":0.01381294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8082688,"about_ca_topic_score_gemma":0.8601068,"domain_scores_codex":[0.9954374,0.001537445,0.001357931,0.00008016663,0.0006945269,0.0008925247],"domain_scores_gemma":[0.996274,0.0006830653,0.001183272,0.0002313747,0.001054315,0.0005739952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00262504,0.00007709592,0.7873994,0.000576026,0.00005920019,0.000002100885,0.04992037,0.0007651911,4.722635e-7,0.0003595571,0.1403336,0.017882],"study_design_scores_gemma":[0.007946271,0.001759815,0.4192671,0.002354714,0.00004676183,0.0000138756,0.5181855,0.00006201354,0.000001856801,0.002852075,0.04726738,0.0002425653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833754,0.003236777,0.00002875417,0.007030553,0.003763964,0.001924723,0.00008344743,0.00001083247,0.0005455047],"genre_scores_gemma":[0.9954083,0.0006451789,0.0001189956,0.003085099,0.0005122132,0.00002441364,0.00002069764,0.00002420114,0.0001609053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4682651,"threshold_uncertainty_score":0.9962632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04046384900705525,"score_gpt":0.4074119051942769,"score_spread":0.3669480561872216,"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."}}