{"id":"W4282931008","doi":"10.1093/ndt/gfac197","title":"Removing race from the CKD-EPI equation and its impact on prognosis in a predominantly White European population","year":2022,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"National Institutes of Health; Vetenskapsrådet; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Nierstichting","keywords":"Medicine; Kidney disease; Renal function; Interquartile range; Internal medicine; Population; Nephrology; Creatinine; Proportional hazards model; Environmental health","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":[0.004722009,0.0003740701,0.0004021472,0.0004293273,0.0003429382,0.0008593628,0.0004969091,0.0004523478,0.001189102],"category_scores_gemma":[0.008420292,0.0001752075,0.00101245,0.0006365142,0.0002833931,0.0005404485,0.0006731036,0.0005028881,0.0004023112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003314552,"about_ca_system_score_gemma":0.0006392341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109738,"about_ca_topic_score_gemma":0.009494252,"domain_scores_codex":[0.9979601,0.001083774,0.0001774158,0.000334198,0.0003009996,0.0001435673],"domain_scores_gemma":[0.9965984,0.001254824,0.0009816505,0.0005493403,0.000463997,0.0001516495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001154558,0.00003270135,0.9957228,0.00001024887,0.0001694402,0.00003321768,0.00007034129,0.0003085648,0.0001325871,0.00009058396,0.0002042626,0.003109792],"study_design_scores_gemma":[0.00001212247,0.00009261459,0.9951441,0.0000275287,0.0002079074,0.0001486532,0.0001105158,0.002913593,0.0002398611,0.00021493,0.000881415,0.000006657581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954942,0.0004533054,0.001925877,0.0003169188,0.00003303399,0.00002063271,0.0007130822,0.00001892566,0.00102399],"genre_scores_gemma":[0.9975361,0.00009961535,0.001165911,0.0001221859,0.00002228207,0.00001950499,0.000750284,0.000007961514,0.0002762474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01109738,"threshold_uncertainty_score":0.02497268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340996036538811,"score_gpt":0.2640703595793973,"score_spread":0.2506603992140092,"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."}}