{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004266216,0.0002181965,0.00040655,0.00108984,0.0003335652,0.001010663,0.0005027117,0.0007202445,0.0007858108],"category_scores_gemma":[0.01457927,0.0001839866,0.00100326,0.001592986,0.0004264346,0.001265248,0.001442237,0.0009165923,0.0001045258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178835,"about_ca_system_score_gemma":0.0009514033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009422954,"about_ca_topic_score_gemma":0.008209165,"domain_scores_codex":[0.9965486,0.001695525,0.0003313589,0.0004003446,0.0005226378,0.0005016021],"domain_scores_gemma":[0.9924887,0.001937751,0.004012983,0.000301031,0.0006591672,0.000600431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001761282,0.00003179462,0.9975207,0.00001536038,0.000150025,0.00002981608,0.0001009737,0.0001739464,0.00003215728,0.0001291385,0.0002158696,0.001424079],"study_design_scores_gemma":[0.00001704008,0.0001229647,0.9984308,0.00002323867,0.00006580778,0.00008019678,0.0002855661,0.0005488831,0.00004067052,0.0001119166,0.0002673713,0.000005578754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979322,0.0005235416,0.0001257816,0.000573881,0.00001582805,0.00001003682,0.0005157198,0.000001931494,0.000301079],"genre_scores_gemma":[0.9987077,0.0001711109,0.00009202103,0.0001863548,0.00003623943,0.000009534873,0.0007462139,0.000001026599,0.00004994163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009422954,"threshold_uncertainty_score":0.02256221,"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."}}