{"id":"W2141421993","doi":"10.1093/ndt/gft213","title":"Serum creatinine level, a surrogate of muscle mass, predicts mortality in peritoneal dialysis patients","year":2013,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Peritoneal dialysis; Creatinine; Hemodialysis; Muscle mass; Dialysis; Urology; Internal medicine; Surrogate endpoint; Intensive care medicine; Surgery","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":[0.0009261783,0.000347151,0.0003965245,0.0004715905,0.0002032566,0.0005499652,0.0003186584,0.0004052609,0.0006243911],"category_scores_gemma":[0.002731024,0.0001769342,0.0004048597,0.0005679347,0.00019417,0.000258815,0.0003720006,0.0007678227,0.000123209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002030425,"about_ca_system_score_gemma":0.0002727294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001226311,"about_ca_topic_score_gemma":0.0015438,"domain_scores_codex":[0.9996905,0.0001084467,0.00003912515,0.00005954618,0.00006283604,0.00003960258],"domain_scores_gemma":[0.9980709,0.000422928,0.0009529963,0.00008980431,0.0001736049,0.0002898106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000232816,0.0000195084,0.9985335,0.000008013869,0.00007262178,0.00002639836,0.000006789611,0.00007982554,0.0001406186,0.000003937508,0.00005902312,0.0008169946],"study_design_scores_gemma":[0.00001550066,0.0001321869,0.9987659,0.000007546578,0.00005820734,0.0001665217,0.00001779575,0.0006581059,0.0000737448,0.00002838455,0.00007378546,0.000002392006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988691,0.0006055214,0.0001004631,0.00007271953,0.000007717626,0.000003167779,0.0001744166,0.000004016411,0.0001628541],"genre_scores_gemma":[0.9994776,0.0001497066,0.00007716515,0.00002366613,0.00001662791,0.0000031878,0.0002076174,8.554879e-7,0.000043571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001226311,"threshold_uncertainty_score":0.00489819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683657776187508,"score_gpt":0.2510765957576389,"score_spread":0.2342400179957638,"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."}}