{"id":"W2794560981","doi":"10.1016/j.kint.2018.01.009","title":"Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate","year":2018,"lang":"en","type":"article","venue":"Kidney International","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":199,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Institute for Clinical Evaluative Sciences; Sunnybrook Hospital; University of Toronto; Provincial Health Services Authority","funders":"National Center for Research Resources; National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; National Institutes of Health; Astellas Pharma; Sanofi; Fresenius Medical Care North America; National Center for Advancing Translational Sciences; Tufts Medical Center; AstraZeneca; Eli Lilly and Company; GlaxoSmithKline; Karolinska Institutet; National Institute of Diabetes and Digestive and Kidney Diseases; Johns Hopkins University; Amgen; U.S. Department of Veterans Affairs","keywords":"Medicine; Renal function; Kidney disease; Creatinine; Internal medicine; Diabetes mellitus; Albuminuria; Blood pressure; Urology; Intensive care medicine; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002767548,0.0001585955,0.0003161239,0.0001476424,0.00004231414,0.00002121846,0.00009897376,0.00006627541,0.0006552848],"category_scores_gemma":[0.003823985,0.0001285304,0.00009003722,0.0001090726,0.000191502,0.0002165789,0.00005323639,0.0001330073,0.00001401172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143368,"about_ca_system_score_gemma":0.001377974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006542622,"about_ca_topic_score_gemma":0.00001339773,"domain_scores_codex":[0.9984654,0.00005938053,0.0005489424,0.0003279823,0.0003971609,0.0002011586],"domain_scores_gemma":[0.9982686,0.000132322,0.0002085262,0.0002085876,0.0002682967,0.0009136572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001131415,0.0004716983,0.9948569,0.00009603876,0.0002638448,0.000007474875,0.0000524943,0.000001685443,0.00005215326,0.00007155022,0.002404424,0.0005903549],"study_design_scores_gemma":[0.009451697,0.0004051628,0.9816049,0.0005972129,0.0001775211,7.527287e-7,0.000008781114,0.00620701,0.0002063698,0.00007669195,0.001136306,0.0001275789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960421,0.0000318064,0.00006096868,0.001639626,0.0003210337,0.0003543756,0.0003416312,0.00003212001,0.001176386],"genre_scores_gemma":[0.9958887,0.00001415384,0.0004426146,0.002256824,0.0003490318,0.00001781717,0.0008380722,0.0000195225,0.0001732787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01325195,"threshold_uncertainty_score":0.7174909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747092124664526,"score_gpt":0.306496179265078,"score_spread":0.2890252580184327,"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."}}