{"id":"W2091406379","doi":"10.1053/jlts.2002.31340","title":"Model for end-stage liver disease and Child-Turcotte-Pugh score as predictors of pretransplantation disease severity, posttransplantation outcome, and resource utilization in United Network for Organ Sharing status 2A patients","year":2002,"lang":"en","type":"article","venue":"Liver Transplantation","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":212,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Medicine; Liver disease; Internal medicine; Liver transplantation; Model for End-Stage Liver Disease; United Network for Organ Sharing; Cohort; Severity of illness; Disease; Intensive care medicine; Transplantation","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":[0.004182061,0.001459228,0.00139534,0.001296459,0.0003322886,0.001275532,0.001530843,0.0007671633,0.004359144],"category_scores_gemma":[0.006253195,0.0005157209,0.001879589,0.0007156644,0.0002247746,0.0005163244,0.0009034334,0.001554045,0.0007835866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008868357,"about_ca_system_score_gemma":0.001802517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01356453,"about_ca_topic_score_gemma":0.005742659,"domain_scores_codex":[0.9988067,0.0007462834,0.00005333688,0.0001430882,0.00009319565,0.0001573248],"domain_scores_gemma":[0.9948316,0.003581506,0.0005222378,0.0001912208,0.0004307612,0.0004426711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008461377,0.0008756641,0.8585185,0.0001164086,0.003167734,0.0005664875,0.0001698993,0.1057749,0.0005186481,0.001125814,0.007888688,0.01281586],"study_design_scores_gemma":[0.0006816207,0.0009586406,0.1184344,0.00006937177,0.0009154394,0.0003698953,0.0001548033,0.875744,0.0001367439,0.001285011,0.001203247,0.00004679042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783326,0.001074585,0.01074801,0.001646789,0.0001978141,0.0002021746,0.005149565,0.0003263105,0.002322147],"genre_scores_gemma":[0.9902377,0.0002067335,0.003129593,0.0001099338,0.00007779062,0.0003166352,0.003534056,0.00004595367,0.002341726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01356453,"threshold_uncertainty_score":0.02697116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04182173746023606,"score_gpt":0.2615524055464779,"score_spread":0.2197306680862418,"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."}}