{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150846,0.0002448665,0.0003990898,0.0004044146,0.0002512843,0.0004199374,0.0001212712,0.0001654362,0.001592244],"category_scores_gemma":[0.001522706,0.0001118957,0.0002589379,0.0006490995,0.0002750721,0.0003318653,0.000498242,0.0003117456,0.0002783638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198855,"about_ca_system_score_gemma":0.0002602644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000965915,"about_ca_topic_score_gemma":0.002665457,"domain_scores_codex":[0.9996352,0.0001537096,0.00004372963,0.00004983143,0.000082339,0.00003515373],"domain_scores_gemma":[0.9977465,0.000371126,0.001400263,0.0001135378,0.0001261753,0.0002422787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001134401,0.00009190718,0.9883183,0.00009612867,0.0001614114,0.00003076999,0.00002474783,0.00006003686,0.001006329,0.00002274654,0.0001421979,0.008911068],"study_design_scores_gemma":[0.00003444427,0.0004611947,0.9983791,0.00002467868,0.00008652371,0.0001678698,0.00003582334,0.0001227959,0.0002202064,0.00006401518,0.0004003732,0.000002880772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972174,0.001211033,0.0003298249,0.00008451029,0.0000117699,0.00002593682,0.000520647,0.000006032974,0.0005928815],"genre_scores_gemma":[0.9979714,0.0007321879,0.0003081132,0.00006961801,0.00003640107,0.00001988411,0.0006549048,0.000002113557,0.0002052972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001592244,"threshold_uncertainty_score":0.006086349,"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."}}