{"id":"W1831478244","doi":"10.1111/j.1542-4758.2010.00468.x","title":"Updated comorbidity assessments and outcomes in prevalent hemodialysis patients","year":2010,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Comorbidity; Medicine; Hemodialysis; Proportional hazards model; Dialysis; Diabetes mellitus; Intensive care medicine; Internal medicine; Emergency medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001675087,0.0001579638,0.0003460677,0.001070432,0.0002600867,0.0005656807,0.0001785963,0.0002340976,0.000417813],"category_scores_gemma":[0.01058931,0.0001622126,0.000317778,0.001573679,0.0001499785,0.0005720851,0.0005751969,0.000598731,0.0000465443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000345461,"about_ca_system_score_gemma":0.0003327143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004521642,"about_ca_topic_score_gemma":0.007200541,"domain_scores_codex":[0.9986264,0.0006860803,0.0001897591,0.0001346645,0.0002526581,0.0001105631],"domain_scores_gemma":[0.9942682,0.001426943,0.003148373,0.0003946606,0.0003730087,0.0003887821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009385287,0.00001340024,0.9979304,0.000003427277,0.00002804566,0.00001791553,0.00003233712,0.0001276205,0.00004951522,0.00001440575,0.00002648977,0.001662523],"study_design_scores_gemma":[0.000005754459,0.00005322485,0.9990898,0.000003321646,0.00001617439,0.00008715112,0.00002892118,0.0005599382,0.00004202196,0.00004280993,0.00006705946,0.000003734961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992612,0.0001327482,0.0002073194,0.00002593959,0.000002615567,0.000005609257,0.0002358679,0.000002465129,0.0001262598],"genre_scores_gemma":[0.9993165,0.00004493039,0.0002222889,0.00001063827,0.000007398912,0.000006209344,0.0003657908,9.076577e-7,0.00002535729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004521642,"threshold_uncertainty_score":0.008990645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510087664815715,"score_gpt":0.310561293783144,"score_spread":0.2954604171349868,"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."}}