{"id":"W6991329370","doi":"","title":"Grams ME, Sang Y, Ballew SH, et&amp;nbsp;al, for the Chronic Kidney Disease Prognosis Consortium. Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate. Kidney Int. 2018;93:1442-1451.","year":2018,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kidney disease; Dialysis; Cohort; Renal function; Interim; Kidney transplantation; Clinical Practice; Interim analysis; Renal replacement therapy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003395386,0.0007146421,0.000777436,0.002686936,0.0008699159,0.001858832,0.001758116,0.002310653,0.06113726],"category_scores_gemma":[0.03108828,0.0003657798,0.0008192112,0.002933491,0.0008010013,0.00262413,0.001691319,0.004033194,0.01920031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177423,"about_ca_system_score_gemma":0.003122073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009341145,"about_ca_topic_score_gemma":0.01100348,"domain_scores_codex":[0.9983576,0.000363001,0.0001591789,0.0002380167,0.0007430056,0.0001392558],"domain_scores_gemma":[0.9912471,0.001986405,0.001190355,0.0005940345,0.003750357,0.001231677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001598837,0.0000150047,0.004985453,0.0001302218,0.00004355295,0.0000595132,0.0000400837,0.0000336538,0.00005485808,0.0009394273,0.92019,0.07334842],"study_design_scores_gemma":[0.0005055551,0.0001089213,0.02641924,0.001007565,0.0002284748,0.0006989091,0.0003105707,0.0007731255,0.0003897284,0.01059064,0.9588846,0.00008269096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009860918,0.1196836,0.01224457,0.4270809,0.06556846,0.0009786166,0.1754867,0.002028792,0.1870674],"genre_scores_gemma":[0.147261,0.1677339,0.03147128,0.07903243,0.06629284,0.005215432,0.1092334,0.002531563,0.3912281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06113726,"threshold_uncertainty_score":0.2045245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502470357961269,"score_gpt":0.2820268092366162,"score_spread":0.2570021056570035,"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."}}