{"id":"W2619446181","doi":"10.1007/s10557-017-6729-y","title":"The Role of SGLT-2 Inhibitors as Part of Optimal Medical Therapy in Improving Cardiovascular Outcomes in Patients with Diabetes and Coronary Artery Disease","year":2017,"lang":"en","type":"review","venue":"Cardiovascular Drugs and Therapy","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto; Heart and Stroke Foundation","funders":"","keywords":"Medicine; Mace; Empagliflozin; Coronary artery disease; Diabetes mellitus; Intensive care medicine; Clinical trial; Revascularization; Internal medicine; Type 2 Diabetes Mellitus; Type 2 diabetes; Disease; Cardiology; Population; Myocardial infarction; Percutaneous coronary intervention","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001248833,0.0005148971,0.003205011,0.0002177023,0.00008911835,0.00004168997,0.0002342657,0.00019014,0.000004789976],"category_scores_gemma":[0.00005749675,0.0002807459,0.001703064,0.0001271483,0.0003857236,0.000104846,0.0001319703,0.0002609351,6.624741e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004636444,"about_ca_system_score_gemma":0.0002044933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000464739,"about_ca_topic_score_gemma":0.000001870402,"domain_scores_codex":[0.9971063,0.0002814918,0.0006380027,0.0005622639,0.00102882,0.0003831216],"domain_scores_gemma":[0.9980456,0.0001421225,0.0002558639,0.001275333,0.00007487142,0.0002061778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001171512,0.000246261,0.1047791,0.001181346,0.0126663,0.00004561399,0.00009250441,0.000001507485,4.259028e-8,0.00001145035,0.000002259686,0.8808565],"study_design_scores_gemma":[0.01502187,0.001104007,0.1193881,0.009384952,0.00454679,0.000004387627,0.0001628641,0.00001303793,0.000008211223,0.00004606097,0.8496811,0.0006386194],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2884763,0.7096068,3.615026e-7,0.00001228368,0.00007731608,0.001732008,0.00001367075,0.000008690134,0.00007255316],"genre_scores_gemma":[0.08712349,0.912355,0.00001181334,0.00001680585,0.00006159433,0.0002839255,0.00006353094,0.00006048701,0.00002332819],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8802179,"threshold_uncertainty_score":0.9999645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138825684342383,"score_gpt":0.2428716451420452,"score_spread":0.2314833882986214,"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."}}