{"id":"W4415304935","doi":"10.1016/j.jhepr.2025.101640","title":"MELD 3.i and the case for continuous updating in liver allocation","year":2025,"lang":"en","type":"letter","venue":"JHEP Reports","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Gilead Sciences","keywords":"Liver transplantation; Liver disease; Liver failure; Waiting list; Disease; 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":[0.004174082,0.0004591956,0.0006757788,0.0004814126,0.002101808,0.0027613,0.001332291,0.03079311,0.004920766],"category_scores_gemma":[0.0259403,0.0003892883,0.0009883285,0.000589633,0.002991913,0.004138961,0.001116622,0.02864977,0.003162771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003401919,"about_ca_system_score_gemma":0.003815808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003993215,"about_ca_topic_score_gemma":0.007246287,"domain_scores_codex":[0.9970476,0.001117442,0.0004552258,0.000277073,0.0007537561,0.0003489421],"domain_scores_gemma":[0.9913043,0.00505688,0.0005396184,0.0004282693,0.001251293,0.001419629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007399231,0.00005359768,0.002200064,0.00006083436,0.00001159611,0.01294064,0.0002415539,0.0001989328,0.0002891564,0.01102121,0.9476787,0.02522988],"study_design_scores_gemma":[0.0001561072,0.0001075762,0.002650818,0.0006908111,0.00002464581,0.03124396,0.000648979,0.00124994,0.0003412055,0.03567949,0.9271246,0.00008178583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006181685,0.0007668732,0.0001821241,0.9875956,0.007001791,0.000007832437,0.0000143962,0.00001773805,0.003795471],"genre_scores_gemma":[0.009732433,0.001409114,0.0008866967,0.9387428,0.04355513,0.00003243471,0.00002737274,0.00002448067,0.005589522],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03079311,"threshold_uncertainty_score":0.02468276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134950714742867,"score_gpt":0.2575242420283196,"score_spread":0.2461747348808909,"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."}}