{"id":"W2944049182","doi":"10.1016/j.cmet.2019.04.011","title":"A Big Win for Diabetic Kidney Disease: CREDENCE","year":2019,"lang":"en","type":"letter","venue":"Cell Metabolism","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Toronto General Hospital; Diabetes Canada; University of Toronto","funders":"Janssen Pharmaceuticals; Department of Medicine, University of Toronto; Canadian Institutes of Health Research; Novo Nordisk; University of Toronto; Sanofi; Bayer HealthCare; Diabetes Canada; Novartis; Merck; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb; Boehringer Ingelheim; Amgen; Heart and Stroke Foundation of Canada","keywords":"Credence; Disease; Kidney; Diabetes mellitus; Medicine; Kidney disease; Intensive care medicine; Internal medicine; Computer science; Endocrinology","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":[0.00571679,0.001224538,0.002272372,0.001030937,0.01328945,0.01120587,0.002448115,0.155626,0.01718748],"category_scores_gemma":[0.03135361,0.00117396,0.002169238,0.0008775414,0.006576547,0.00783248,0.006083886,0.1093848,0.00940686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008785721,"about_ca_system_score_gemma":0.01535042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223387,"about_ca_topic_score_gemma":0.02503788,"domain_scores_codex":[0.9933493,0.001636735,0.0006372965,0.0008415122,0.001815746,0.001719439],"domain_scores_gemma":[0.9849969,0.006122765,0.0007593437,0.0004567883,0.001646109,0.006018099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003556344,0.00003294088,0.0002328264,0.00003146564,0.0000135679,0.001118682,0.0001061727,0.00002625264,0.00007686181,0.003295532,0.9909006,0.004129404],"study_design_scores_gemma":[0.0002085184,0.00007891169,0.001195909,0.0007062265,0.00004402665,0.001806954,0.0008276467,0.0003635328,0.0001142917,0.0183817,0.9761391,0.0001331939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0001246275,0.0009941939,0.00003081929,0.9772472,0.01956722,0.000005344421,0.00001490322,0.00001078414,0.00200483],"genre_scores_gemma":[0.001539979,0.0006008463,0.00008168782,0.9555797,0.03574295,0.00001723528,0.00001158352,0.00001490372,0.006411128],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.155626,"threshold_uncertainty_score":0.0637452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846507351247995,"score_gpt":0.2393942875964538,"score_spread":0.2209292140839739,"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."}}