{"id":"W2053791508","doi":"10.1016/s0272-6386(03)00415-3","title":"Adapting the charlson comorbidity index for use in patients with ESRD","year":2003,"lang":"en","type":"article","venue":"American Journal of Kidney Diseases","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":509,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Health Economics; University of Calgary","funders":"","keywords":"Medicine; Comorbidity; Proportional hazards model; Hazard ratio; Peritoneal dialysis; Charlson comorbidity index; Hemodialysis; Internal medicine; Population; Dialysis; Survival analysis; Cohort; End stage renal disease; Confidence interval","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":[0.004216371,0.0007509482,0.001580998,0.002398061,0.0007358781,0.00194034,0.0007783062,0.0007616048,0.00173206],"category_scores_gemma":[0.02187637,0.0003086622,0.001890699,0.003215668,0.000184262,0.001240975,0.001221749,0.001772299,0.0006397741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268201,"about_ca_system_score_gemma":0.00250492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01517704,"about_ca_topic_score_gemma":0.02828179,"domain_scores_codex":[0.9958159,0.001431083,0.001012419,0.0002707001,0.001220621,0.0002493078],"domain_scores_gemma":[0.993907,0.001738595,0.0008217118,0.0004007787,0.002717894,0.0004141022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004754017,0.0002814341,0.923445,0.0001146907,0.0003528416,0.0001780374,0.0001705991,0.001851479,0.0003178533,0.000448689,0.008458383,0.06390557],"study_design_scores_gemma":[0.0001868469,0.0004238392,0.9720559,0.0001247568,0.0003852912,0.0005808128,0.0005887203,0.0170375,0.0005093927,0.001240758,0.006787781,0.0000784217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9346904,0.002713738,0.02333163,0.005333919,0.001537542,0.001366719,0.01042601,0.0004973148,0.02010271],"genre_scores_gemma":[0.9691272,0.0008433837,0.02424938,0.0003724401,0.0002636642,0.0005104661,0.003787841,0.00008066467,0.0007649278],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01517704,"threshold_uncertainty_score":0.03017741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125195854430347,"score_gpt":0.244777328236476,"score_spread":0.2322577427934413,"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."}}