{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001328387,0.0005358691,0.0009632076,0.0002813238,0.00006138089,0.0000736733,0.000295461,0.0003571998,0.0003502133],"category_scores_gemma":[0.0001342415,0.0004415081,0.0005370487,0.0001563516,0.00007132129,0.0000576788,0.0001180039,0.0005259293,0.0008277108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006730406,"about_ca_system_score_gemma":0.0002760907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007275043,"about_ca_topic_score_gemma":1.369053e-7,"domain_scores_codex":[0.9976409,0.00004863898,0.0003304913,0.0007535347,0.0004903515,0.0007360881],"domain_scores_gemma":[0.9981736,0.0001367163,0.0001849019,0.001090714,0.0001027554,0.0003113262],"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":[0.00004349135,0.0001355293,0.0001390932,0.002693203,0.0003122867,0.0001370492,0.00002783468,3.887822e-7,0.0001594839,0.00008335869,0.992978,0.003290318],"study_design_scores_gemma":[0.002690612,0.00008933828,0.0008870875,0.0003253648,0.00456551,5.633221e-7,0.000004142466,0.00003039093,0.0004856266,0.0004160041,0.9900805,0.0004247963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001859807,0.02670906,0.0005459179,0.9180287,0.01063125,0.008452274,0.0009305349,0.0003850833,0.03245736],"genre_scores_gemma":[0.0008757915,0.0004646244,0.0007287011,0.6758969,0.007892131,0.0007481964,0.002865088,0.0001585108,0.3103701],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2779127,"threshold_uncertainty_score":0.9999503,"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."}}