{"id":"W4401173011","doi":"10.1097/hc9.0000000000000495","title":"Relationship between updated MELD and prognosis in alcohol-associated hepatitis: Opportunities for more efficient trial design","year":2024,"lang":"en","type":"article","venue":"Hepatology Communications","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Alcohol Abuse and Alcoholism; University of California, San Diego; National Institutes of Health; Ferring Research Institute; Novo Nordisk; Ipsen; University of Alberta; NGM Biopharmaceuticals; Axial Biotherapeutics; Intercept Pharmaceuticals; Gilead Sciences; Boston Pharmaceuticals; GlaxoSmithKline; Norgine; AstraZeneca","keywords":"Medicine; Predictive value; Liver disease; Internal medicine; Liver transplantation; Cohort; Alcoholic hepatitis; Transplantation; Cirrhosis; Alcoholic liver disease","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0009852669,0.0001431739,0.0003776577,0.0003889119,0.0002926117,0.00003219383,0.000161515,0.0002604528,0.00002544279],"category_scores_gemma":[0.0008204983,0.0001425033,0.00006900421,0.0003373966,0.000311515,0.00006099015,0.00007212304,0.000434454,0.00001437029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001263673,"about_ca_system_score_gemma":0.0004290641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000158972,"about_ca_topic_score_gemma":0.0003778221,"domain_scores_codex":[0.9983392,0.00054666,0.0005033133,0.0002385514,0.0001097898,0.0002625177],"domain_scores_gemma":[0.9955531,0.003598696,0.00009220012,0.0004981948,0.0001215553,0.0001362904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008637842,0.0002112225,0.9834702,0.0001837699,0.0001042963,0.00001905283,0.0007153454,0.000004331124,0.000004549082,0.009567902,0.002392419,0.002463143],"study_design_scores_gemma":[0.01574577,0.0006841189,0.9213886,0.0003962703,0.00051958,0.00004333497,0.0002748715,0.0551528,0.00002218621,0.001091292,0.004432988,0.0002481593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468882,0.003277934,0.001477432,0.04415502,0.0001459424,0.00329724,0.00009142641,0.0002844699,0.0003823425],"genre_scores_gemma":[0.9938095,0.0005653216,0.003125297,0.0005434303,0.000027522,0.0008892823,0.0008728761,0.00002324821,0.0001434798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06208155,"threshold_uncertainty_score":0.5811114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5014636489612271,"score_gpt":0.4606625903852886,"score_spread":0.04080105857593852,"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."}}