{"id":"W4394769356","doi":"10.1097/hep.0000000000000883","title":"An artificial intelligence-generated model predicts 90-day survival in alcohol-associated hepatitis: A global cohort study","year":2024,"lang":"en","type":"article","venue":"Hepatology","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; London Health Sciences Centre; Western University","funders":"National Center for Advancing Translational Sciences; National Institute on Alcohol Abuse and Alcoholism; Grifols; Ipsen; Astellas Pharma; Novo Nordisk; Gilead Sciences; GlaxoSmithKline; AstraZeneca","keywords":"Medicine; Cohort; Machine learning; Retrospective cohort study; Mortality rate; Cohort study; Alcoholic hepatitis; Artificial intelligence; Internal medicine; Demography; Cirrhosis; Alcoholic liver disease; Computer science","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":[0.004902648,0.0006505161,0.000369837,0.0006667417,0.0002581031,0.0007302556,0.0005008627,0.000446753,0.0008365266],"category_scores_gemma":[0.005306876,0.0002081135,0.00118089,0.0004387223,0.0002647894,0.0004932499,0.0005517667,0.0007712572,0.0002192555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004305345,"about_ca_system_score_gemma":0.0004573364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004885489,"about_ca_topic_score_gemma":0.0051351,"domain_scores_codex":[0.99957,0.0002236959,0.00002103088,0.0001030218,0.00003725244,0.00004511098],"domain_scores_gemma":[0.9978544,0.0009503389,0.0002965239,0.0004613411,0.0002691705,0.0001681532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003837379,0.0001266924,0.9824412,0.00001013847,0.0004963347,0.00009642311,0.0000884442,0.00904958,0.0002193359,0.0001121094,0.0004703009,0.006505657],"study_design_scores_gemma":[0.0001315026,0.001241195,0.7301858,0.0000377477,0.0008366612,0.0004560982,0.0003505408,0.2638977,0.0006328141,0.001006369,0.001177501,0.00004608782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970928,0.0000735863,0.002216597,0.00006898193,0.00001100347,0.00002009895,0.0003065664,0.00001792626,0.000192287],"genre_scores_gemma":[0.9982995,0.00004444038,0.0008712069,0.00002132279,0.000008025114,0.00001139856,0.0006159906,0.000006675635,0.0001215041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004902648,"threshold_uncertainty_score":0.02592796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1267116897652432,"score_gpt":0.4151174454868511,"score_spread":0.2884057557216079,"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."}}