{"id":"W3120992799","doi":"10.1016/j.jcmg.2020.10.017","title":"Empagliflozin Reduces Myocardial Extracellular Volume in Patients With Type 2 Diabetes and Coronary Artery Disease","year":2021,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; St. Michael's Hospital","funders":"Department of Medicine, University of Toronto; Abbott Vascular; St. Jude Medical; Servier; Biosensors International Group; Biotronik; University of Toronto; Terumo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Medicines Company; Novo Nordisk; Merck; Fundação de Amparo à Pesquisa do Estado de São Paulo; Boehringer Ingelheim; AstraZeneca; Eli Lilly and Company","keywords":"Empagliflozin; Medicine; Cardiology; Internal medicine; Coronary artery disease; Placebo; Type 2 diabetes; Diabetes mellitus; Type 2 Diabetes Mellitus; Endocrinology; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002299906,0.0001822044,0.0005304777,0.0001416194,0.00006818961,0.0003054045,0.0001097569,0.000252527,0.001451333],"category_scores_gemma":[0.0006957329,0.0001096344,0.0002751838,0.0001134155,0.00007081773,0.0002362626,0.0001839229,0.0006039796,0.0001363584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544513,"about_ca_system_score_gemma":0.0001466557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006492498,"about_ca_topic_score_gemma":0.001487082,"domain_scores_codex":[0.9999137,0.00002934914,0.000008037485,0.00001042939,0.00001921876,0.0000192903],"domain_scores_gemma":[0.9998437,0.00004965214,0.00004363733,0.000007754378,0.00001210064,0.00004301426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1022052,0.00462449,0.2342649,0.0008187015,0.002368249,0.00062911,0.0001347712,0.001649629,0.01829933,0.000451761,0.01252368,0.6220301],"study_design_scores_gemma":[0.01136857,0.009657837,0.9636254,0.0001469886,0.001063415,0.0008077347,0.0001496463,0.004264563,0.002035026,0.0007145648,0.006134347,0.00003188667],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816984,0.01209085,0.000436813,0.001129732,0.0001810446,0.0000340379,0.000309174,0.00007468715,0.004045331],"genre_scores_gemma":[0.9954927,0.001864047,0.0004572503,0.0006388867,0.0002041414,0.00002301382,0.0002630757,0.000004207764,0.001052583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001451333,"threshold_uncertainty_score":0.004855216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005510069167219839,"score_gpt":0.1917577997870331,"score_spread":0.1862477306198132,"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."}}