{"id":"W2895073602","doi":"10.1016/j.jcjd.2018.08.015","title":"Empagliflozin Reduces Mortality in Patients with Type 2 Diabetes and a History of Left Ventricular Hypertrophy: A Sub-Analysis of the EMPA-REG OUTCOME Trial","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Empagliflozin; Medicine; EMPA; Internal medicine; Mace; Cardiology; Type 2 diabetes; Diabetes mellitus; Placebo; Left ventricular hypertrophy; Endocrinology; Blood pressure; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002658588,0.001507785,0.003897695,0.0003365338,0.0003504623,0.00161128,0.0007069868,0.001037037,0.001951998],"category_scores_gemma":[0.002450407,0.0006036671,0.005436085,0.0005814132,0.0005821671,0.001083269,0.0008090729,0.002645188,0.0004193921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006370923,"about_ca_system_score_gemma":0.000663877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909969,"about_ca_topic_score_gemma":0.004552242,"domain_scores_codex":[0.9989667,0.0005119698,0.00008888602,0.000165554,0.0001195842,0.0001474245],"domain_scores_gemma":[0.9985796,0.0004303471,0.0003778485,0.0001946749,0.0001095331,0.0003079868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.8700939,0.002464731,0.05596731,0.001715015,0.03805347,0.000182293,0.000078839,0.001258775,0.00180563,0.000231431,0.003282302,0.02486626],"study_design_scores_gemma":[0.5418451,0.04182537,0.3425047,0.0003715697,0.06440508,0.000405481,0.0002419928,0.002749482,0.0008075254,0.0008945527,0.003798111,0.0001509049],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802035,0.01378299,0.0004342905,0.0007040225,0.0003215741,0.0002882692,0.002114643,0.00005335034,0.002097322],"genre_scores_gemma":[0.9898027,0.003929624,0.0004300904,0.0008448022,0.0006180244,0.0002670207,0.00320569,0.00001439545,0.0008877864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003897695,"threshold_uncertainty_score":0.01406014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662393209368676,"score_gpt":0.2273343955145878,"score_spread":0.2107104634209011,"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."}}