{"id":"W1562955038","doi":"10.1111/dme.12801","title":"Early specialist care for diabetes: who benefits most? A propensity score‐matched cohort study","year":2015,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; University Health Network; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Canadian Diabetes Association","keywords":"Medicine; Hazard ratio; Myocardial infarction; Internal medicine; Clinical endpoint; Diabetes mellitus; Propensity score matching; Population; Incidence (geometry); Cohort; Stroke (engine); Cohort study; Confidence interval; Randomized controlled trial; Endocrinology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002443352,0.0003764494,0.001551644,0.0001885805,0.0007136659,0.00001322944,0.0004170765,0.0002451513,0.0002853578],"category_scores_gemma":[0.001832861,0.0002781624,0.00007620888,0.0004318395,0.000163496,0.0001392211,0.0002186936,0.0006042141,0.0001875777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008103331,"about_ca_system_score_gemma":0.001623041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001538206,"about_ca_topic_score_gemma":0.001107243,"domain_scores_codex":[0.9957437,0.0005157755,0.001104665,0.0006454728,0.0008527738,0.001137608],"domain_scores_gemma":[0.9957561,0.0007677635,0.000374257,0.0008796171,0.001404362,0.0008178657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000911078,0.00009541574,0.8834069,0.0006604451,0.00006760826,0.000006628618,0.02497785,7.370327e-7,0.00001046357,0.0001793414,0.08795686,0.00254661],"study_design_scores_gemma":[0.006392759,0.00174214,0.938627,0.0005390231,0.0002802138,2.426158e-7,0.00724466,0.000009638419,0.00001616423,0.0002449703,0.04459476,0.0003084079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651006,0.001560783,0.00002604128,0.009068687,0.002779869,0.008839112,0.00008261134,0.0001854463,0.01235684],"genre_scores_gemma":[0.9684794,0.00005371609,0.0001070886,0.02384736,0.002843272,0.001736833,0.0002563623,0.00008791135,0.002588087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05522009,"threshold_uncertainty_score":0.999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.125074471144645,"score_gpt":0.3949816708218518,"score_spread":0.2699071996772068,"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."}}