{"id":"W4415252469","doi":"10.1097/lvt.0000000000000751","title":"Variations in liver allocation systems across continents with a focus on MELD exceptions","year":2025,"lang":"en","type":"article","venue":"Liver Transplantation","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; McGill University","funders":"University of California, San Francisco; Grifols; Gilead Sciences","keywords":"Liver transplantation; Organ donation; Donation; Resource allocation; United Network for Organ Sharing; Liver disease; Health care rationing; Resource (disambiguation)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001243401,0.0001715588,0.0002050333,0.0002505015,0.0001286781,0.00004604183,0.00006206061,0.0001084615,0.00002954202],"category_scores_gemma":[0.000003407523,0.0001530913,0.00005391274,0.000443908,0.00003887857,0.0002670224,0.000002760146,0.0001583483,0.00006432773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009991049,"about_ca_system_score_gemma":0.00009903983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001185775,"about_ca_topic_score_gemma":0.0008608899,"domain_scores_codex":[0.9988091,0.00008321501,0.0002929089,0.0003166623,0.0002737354,0.0002243725],"domain_scores_gemma":[0.9994335,0.0001202057,0.00006694887,0.0001834596,0.000125162,0.00007072505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02326039,0.005076427,0.702236,0.01118296,0.002916519,0.003503193,0.06358865,0.009165617,0.01401874,0.1512105,0.0004330347,0.01340797],"study_design_scores_gemma":[0.00650899,0.0002573457,0.9828332,0.001526155,0.001148992,0.00006180077,0.0004482342,0.004454092,0.002378057,0.0001433671,0.00004079703,0.0001989432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9330931,0.0002492497,0.05965208,0.0005571246,0.0001834057,0.001264429,0.0002082593,0.0001180751,0.004674245],"genre_scores_gemma":[0.9968923,0.001148804,0.0002028126,0.0002131428,0.00004855672,0.0001924689,0.0008213922,0.00001532742,0.0004651794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2805972,"threshold_uncertainty_score":0.6242881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220368757101977,"score_gpt":0.2690699048424848,"score_spread":0.256866217271465,"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."}}