{"id":"W3136908150","doi":"10.6002/ect.2020.0557","title":"Pretransplant Use of the Chronic Kidney Disease Epidemiology Collaboration Equation (CKD-EPI) to Estimate Glomerular Filtration Rate Predicts Outcomes in Liver Transplant Recipients","year":2021,"lang":"en","type":"article","venue":"Experimental and Clinical Transplantation","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Renal function; Kidney disease; Medicine; Epidemiology; Internal medicine; Kidney; Dialysis; Kidney transplantation; Chronic liver disease; Urology; Liver disease; Gastroenterology","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":[0.003196291,0.000330289,0.0003750474,0.000959671,0.0002225706,0.0007585988,0.0004154512,0.0004217138,0.0009266483],"category_scores_gemma":[0.008139586,0.0001456766,0.000496965,0.001098208,0.0002966735,0.0006184399,0.0006102619,0.0009359921,0.0001679422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003974294,"about_ca_system_score_gemma":0.0007799036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003484919,"about_ca_topic_score_gemma":0.004518205,"domain_scores_codex":[0.9984402,0.0005879193,0.0002348299,0.0002219515,0.0003715934,0.0001435132],"domain_scores_gemma":[0.9928274,0.00176496,0.003763348,0.0005070188,0.0006410464,0.0004962687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004453969,0.00001923055,0.9989573,0.000006194292,0.00005759496,0.000008351118,0.00001236949,0.00007093624,0.00003533704,0.00001377347,0.00005189772,0.000722536],"study_design_scores_gemma":[0.000005209771,0.00004966377,0.9987149,0.000008931745,0.00003670466,0.00008717468,0.0000313305,0.0008496,0.00008766096,0.00003235862,0.00009342654,0.000003097793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971156,0.0008804562,0.0006060475,0.0001793543,0.00001539124,0.0000115785,0.0005855747,0.00001083398,0.0005951985],"genre_scores_gemma":[0.9992161,0.0001194918,0.0001805026,0.00001870836,0.00001562815,0.000007297223,0.0003757188,0.000001721975,0.00006475987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003484919,"threshold_uncertainty_score":0.01690376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07328566343742624,"score_gpt":0.388312269005618,"score_spread":0.3150266055681918,"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."}}