{"id":"W4387241936","doi":"10.1111/apt.17733","title":"In severe alcohol‐related hepatitis, acute kidney injury is prevalent, associated with mortality independent of liver disease severity, and can be predicted using <scp>IL</scp>‐8 and <scp>micro‐RNAs</scp>","year":2023,"lang":"en","type":"article","venue":"Alimentary Pharmacology & Therapeutics","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Mary's Hospital Centre","funders":"NIHR Imperial Biomedical Research Centre; Health Technology Assessment Programme; Medical Research Council; National Institute for Health and Care Research","keywords":"Medicine; Internal medicine; Acute kidney injury; Alcoholic hepatitis; Renal function; Creatinine; Gastroenterology; Prednisolone; Incidence (geometry); Proportional hazards model; Liver function; Liver disease; Alcoholic liver disease; Cirrhosis","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":[0.0005505256,0.0004154039,0.0006585523,0.0003416764,0.000205199,0.00001967535,0.0001407118,0.0003077995,0.000119402],"category_scores_gemma":[0.00001043244,0.0004059752,0.00007782937,0.0005900132,0.0004649565,0.0002069397,0.0002271174,0.0006706749,0.000003763974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003034534,"about_ca_system_score_gemma":0.0005085354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008679565,"about_ca_topic_score_gemma":0.0001207468,"domain_scores_codex":[0.9970945,0.0005256085,0.0006166708,0.0006094573,0.0004725537,0.000681232],"domain_scores_gemma":[0.9981495,0.0003734968,0.0003765335,0.0002579619,0.0001546812,0.0006877929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002156637,0.0005536015,0.9360064,0.0004462815,0.008917839,0.0005481594,0.002742782,0.000005251314,0.04524881,0.000003625813,0.005214427,0.00009721156],"study_design_scores_gemma":[0.007823576,0.0005363339,0.9603871,0.0002667459,0.0126458,0.0001027176,0.0001197644,0.005089589,0.01192857,0.00005442107,0.0009229899,0.0001224421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920592,0.0008446951,0.000001933556,0.002109849,0.0003198353,0.001807305,0.002694742,0.0001324418,0.00003001131],"genre_scores_gemma":[0.9490109,0.01251951,0.00004964318,0.03703904,0.00005376603,0.0000611158,0.0008165762,0.00006686434,0.0003825903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0430483,"threshold_uncertainty_score":0.9998392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07000009467955262,"score_gpt":0.374849777216656,"score_spread":0.3048496825371033,"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."}}