{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003283674,0.0002452867,0.0007572793,0.0004861878,0.00005281197,0.00001947071,0.0001227772,0.0001779155,0.0007815396],"category_scores_gemma":[0.00005211345,0.0002116251,0.000313063,0.0006592901,0.0001438844,0.0001723411,0.00001776529,0.0001456703,0.00004721105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006018625,"about_ca_system_score_gemma":0.0000540634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002029824,"about_ca_topic_score_gemma":0.001364695,"domain_scores_codex":[0.9976209,0.0002607812,0.0008163687,0.000455227,0.0004914915,0.0003551947],"domain_scores_gemma":[0.9988855,0.0001032358,0.0002421886,0.000356329,0.0002481964,0.0001646051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003490591,0.0009819152,0.9793752,0.0004110325,0.0007886394,0.00003438333,0.00109124,0.0006032147,0.007905862,0.00005338997,0.00008109328,0.008324991],"study_design_scores_gemma":[0.004166666,0.0002426734,0.9900124,0.00006623335,0.002479904,8.126107e-7,0.00007455701,0.001566664,0.001042931,0.0001113592,0.00007590682,0.0001598709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967745,0.00004671047,0.0004279215,0.0003580285,0.00008781204,0.0007760456,0.0001861339,0.00004246848,0.001300389],"genre_scores_gemma":[0.9968014,0.0003862225,0.0004439147,0.0004238101,0.00007574931,0.0001852391,0.001563954,0.00002227356,0.00009739777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01063724,"threshold_uncertainty_score":0.8629819,"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."}}