{"id":"W3199674324","doi":"10.1111/dom.14559","title":"Empagliflozin and uric acid metabolism in diabetes: A post hoc analysis of the <scp>EMPA‐REG OUTCOME</scp> trial","year":2021,"lang":"en","type":"article","venue":"Diabetes Obesity and Metabolism","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"Boehringer Ingelheim; Eli Lilly and Company","keywords":"Empagliflozin; Medicine; EMPA; Post-hoc analysis; Uric acid; Type 2 diabetes; Diabetes mellitus; Gout; Internal medicine; Pharmacology; Endocrinology; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004078235,0.001294953,0.003614852,0.0002128358,0.0002039401,0.001134282,0.0004965878,0.0008697109,0.004233179],"category_scores_gemma":[0.003572289,0.0003289717,0.004321219,0.0002743063,0.0003994221,0.0006672114,0.0004953997,0.001982916,0.0004245049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004127202,"about_ca_system_score_gemma":0.0006952335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007918955,"about_ca_topic_score_gemma":0.001496021,"domain_scores_codex":[0.9983209,0.001197887,0.00008085712,0.0001602135,0.00008825546,0.0001519223],"domain_scores_gemma":[0.9983341,0.0008076235,0.0003522934,0.0001737945,0.0001114754,0.0002206722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.9753519,0.0007295694,0.001941675,0.0008142642,0.008446982,0.00004259972,0.0000178071,0.0004621672,0.0007268719,0.00007497804,0.001081749,0.01030943],"study_design_scores_gemma":[0.8616617,0.07980341,0.02625056,0.0002336853,0.02549395,0.0001237939,0.00005510601,0.002367175,0.0009414029,0.0004440128,0.002583356,0.00004181149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739128,0.0164033,0.001132697,0.00111098,0.0007382436,0.001274937,0.002557503,0.0001213342,0.002748209],"genre_scores_gemma":[0.9894967,0.003060817,0.0009451869,0.0006174335,0.0005727567,0.001250968,0.001897308,0.00002853209,0.002130221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004233179,"threshold_uncertainty_score":0.02156806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198005210412153,"score_gpt":0.2420491067574581,"score_spread":0.2300690546533366,"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."}}