{"id":"W4280489555","doi":"10.1097/tp.0000000000004163","title":"Are MELD and MELDNa Still Reliable Tools to Predict Mortality on the Liver Transplant Waiting List?","year":2022,"lang":"en","type":"review","venue":"Transplantation","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Liver disease; Waiting list; Medicine; Liver transplantation; Model for End-Stage Liver Disease; Intensive care medicine; Disease; Transplantation; Matching (statistics); Scarcity; Internal medicine; Pathology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004791637,0.0005085724,0.001027285,0.0002170794,0.0002963947,0.00008146161,0.0001907285,0.0002079066,0.000579373],"category_scores_gemma":[0.00001871287,0.0003569512,0.0003416813,0.0003440899,0.00005399732,0.0001744128,0.00001067469,0.0006400493,0.00005380423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116105,"about_ca_system_score_gemma":0.0001550582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001829137,"about_ca_topic_score_gemma":0.00007667402,"domain_scores_codex":[0.9973243,0.0002664683,0.0006595626,0.0006765202,0.0007120575,0.000361082],"domain_scores_gemma":[0.9982222,0.0007669249,0.0003102429,0.0004118826,0.0000435643,0.0002451242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003938298,0.00100803,0.007073511,0.3160121,0.007035168,0.008430491,0.01567968,0.00006533234,0.00003452947,0.004650463,0.001412554,0.6346598],"study_design_scores_gemma":[0.004375052,0.001400129,0.02228152,0.09418719,0.08232242,0.001541184,0.0007030178,0.0005475096,0.0002125129,0.00009895573,0.7900941,0.002236425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03175393,0.954684,0.0001871933,0.0002762213,0.0003687271,0.004849367,0.005449063,0.0002594833,0.002171999],"genre_scores_gemma":[0.03345138,0.9617056,0.00003205628,0.000673152,0.0001873322,0.0005181485,0.003241343,0.00007507241,0.0001158962],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7886815,"threshold_uncertainty_score":0.9998882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1379329041825429,"score_gpt":0.3307870489381236,"score_spread":0.1928541447555807,"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."}}