{"id":"W4380626633","doi":"10.1093/ndt/gfad063c_4781","title":"#4781 FRAILTY IN PERITONEAL DIALYSIS: PREVALENCE AND PREDICTION FACTORS","year":2023,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Interquartile range; Frailty Index; Kidney disease; Logistic regression; Peritoneal dialysis; Frailty syndrome; Population; Internal medicine; Dialysis; Cohort; Retrospective cohort study; Receiver operating characteristic; Gerontology; Environmental health","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":[0.0006761421,0.0001950419,0.0002692372,0.0009704859,0.0002976291,0.0004935166,0.0002483487,0.000258471,0.002823104],"category_scores_gemma":[0.001934125,0.0001163639,0.000237518,0.0009796022,0.0002207806,0.000303256,0.000459602,0.0002675555,0.000383931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197174,"about_ca_system_score_gemma":0.0002524025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002623429,"about_ca_topic_score_gemma":0.002011933,"domain_scores_codex":[0.9996829,0.00007322496,0.00004818178,0.00005735233,0.0000859265,0.00005244073],"domain_scores_gemma":[0.9989556,0.0002443466,0.0004678381,0.00003938589,0.00009825531,0.0001944965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000230639,0.00001318039,0.9985814,0.000008114022,0.000006361054,0.0000275829,0.00001365119,0.00001649367,0.00002610632,0.000007886221,0.00009656628,0.001179686],"study_design_scores_gemma":[0.00000243417,0.00005058987,0.9992495,0.00001472995,0.000006910434,0.0002344965,0.00005663668,0.0001750118,0.00001779757,0.00002696495,0.0001631489,0.000001676794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979491,0.0005389455,0.0001051889,0.00006025612,0.000007650499,0.000009706415,0.0006774684,0.000003781901,0.0006479704],"genre_scores_gemma":[0.999216,0.000139852,0.0000692748,0.00001337488,0.0000106708,0.000007528487,0.0004092268,8.137453e-7,0.000133252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002823104,"threshold_uncertainty_score":0.009444237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806879607995166,"score_gpt":0.2656757215605368,"score_spread":0.2476069254805851,"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."}}