{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001408889,0.0003158805,0.0004848773,0.0006155897,0.000846999,0.0008983248,0.000588401,0.0008108037,0.001654664],"category_scores_gemma":[0.003395597,0.0003860814,0.0009538775,0.001507613,0.0004666378,0.0004786841,0.0004449783,0.0006189871,0.0002287179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009706274,"about_ca_system_score_gemma":0.00136373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08103317,"about_ca_topic_score_gemma":0.07640088,"domain_scores_codex":[0.9989888,0.0002342744,0.00008252703,0.000293099,0.0001798312,0.0002213987],"domain_scores_gemma":[0.9980561,0.000195871,0.0008821468,0.0003403796,0.0001762575,0.0003493961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008861161,0.0001461265,0.9962645,0.00001285225,0.0003406366,0.00006793971,0.0001489873,0.00004684218,0.000183669,0.000065294,0.0002729604,0.001564125],"study_design_scores_gemma":[0.0002390337,0.00029667,0.9977226,0.00001333193,0.0002163556,0.0001147302,0.0001944899,0.0005436657,0.00003932561,0.0001073328,0.000502279,0.00001030008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987041,0.000251522,0.0001766322,0.0001029677,0.00001211762,0.00004365091,0.0004169195,0.000002817886,0.0002891251],"genre_scores_gemma":[0.9992562,0.00007642646,0.00009858583,0.00007113024,0.00001208787,0.00001447795,0.0002767665,0.000001446599,0.0001930313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08103317,"threshold_uncertainty_score":0.161123,"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."}}