{"id":"W3106765884","doi":"10.1097/mlr.0000000000001457","title":"Comparing Mortality of Peritoneal and Hemodialysis Patients in an Era of Medicare Payment Reform","year":2020,"lang":"en","type":"article","venue":"Medical Care","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; U.S. Department of Veterans Affairs","keywords":"Medicine; Peritoneal dialysis; Hemodialysis; Hazard ratio; Dialysis; End stage renal disease; Proportional hazards model; Internal medicine; Confidence interval; Mortality rate; Retrospective cohort study; Intensive care medicine; Emergency medicine","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":[0.0001684116,0.00009728119,0.0005159923,0.00004711495,0.00001498681,0.000003860822,0.00009773854,0.00006657882,0.0001766092],"category_scores_gemma":[0.0001426852,0.00006910368,0.00009334457,0.0001872104,0.0001230944,0.00003233817,0.0001330194,0.0001613947,6.80577e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006086811,"about_ca_system_score_gemma":0.00006789333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006622466,"about_ca_topic_score_gemma":0.0004797516,"domain_scores_codex":[0.9981654,0.0000553294,0.0004329258,0.0002187552,0.0009985772,0.0001289974],"domain_scores_gemma":[0.9991443,0.00001232883,0.00008356837,0.0001713626,0.0001145623,0.0004739354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001168233,0.0003056526,0.9571313,0.001089426,0.0000959524,0.00003978963,0.005072453,0.000004745664,0.0000340683,0.00003678038,0.00004839259,0.0360246],"study_design_scores_gemma":[0.002065765,0.0003586934,0.9893057,0.000267247,0.0002545086,1.956011e-7,0.00545396,0.001828885,0.0002609362,0.000003959413,0.0001277197,0.00007242787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972898,0.0003502012,0.00001229841,0.0009055654,0.00003631526,0.0001891382,0.00001977487,0.00000970112,0.001187248],"genre_scores_gemma":[0.99906,0.00007701859,0.00005816133,0.00050305,0.00006218231,0.000008315256,0.0002230529,0.000007008022,0.000001183115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03595218,"threshold_uncertainty_score":0.2817966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504833217845471,"score_gpt":0.2915745716918687,"score_spread":0.266526239513414,"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."}}