{"id":"W3162729225","doi":"10.1002/hep.31907","title":"Admission Urinary and Serum Metabolites Predict Renal Outcomes in Hospitalized Patients With Cirrhosis","year":2021,"lang":"en","type":"article","venue":"Hepatology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta","funders":"National Center for Advancing Translational Sciences; National Institute on Aging; Agency for Healthcare Research and Quality; Grifols; National Institute of Diabetes and Digestive and Kidney Diseases; Mallinckrodt Pharmaceuticals; U.S. Department of Veterans Affairs","keywords":"Medicine; Cirrhosis; Acute kidney injury; Creatinine; Dialysis; Urinary system; Urine; Cohort; Internal medicine; Intensive care medicine; Cohort study; Nephrology; Gastroenterology; Urology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004466113,0.0003284994,0.0003214344,0.0004598281,0.0003375534,0.0005859212,0.0001976262,0.0003008113,0.001043125],"category_scores_gemma":[0.002650671,0.0001938657,0.0003670146,0.0005186086,0.0001872563,0.000282126,0.000480003,0.0005771483,0.0001335043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003823012,"about_ca_system_score_gemma":0.000438201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003927628,"about_ca_topic_score_gemma":0.005129418,"domain_scores_codex":[0.9997196,0.00007074611,0.00003775599,0.00004604596,0.00005101399,0.00007479259],"domain_scores_gemma":[0.9985145,0.000300687,0.0006550231,0.00007677282,0.0001483325,0.0003047137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007935729,0.00001302773,0.999388,0.000001749815,0.00001097785,0.00002396496,0.000009420861,0.00003924584,0.00006122146,0.000003416702,0.00002703355,0.0003426025],"study_design_scores_gemma":[0.000005555366,0.00007096148,0.998901,0.000003376152,0.00001496231,0.0001265537,0.00006135286,0.0006928197,0.00006993798,0.00002192625,0.00002904163,0.000002411352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999647,0.00005228694,0.00004477139,0.00002921906,0.000002705352,0.000002623556,0.0001157671,0.00000255973,0.0001030949],"genre_scores_gemma":[0.9997023,0.00002202159,0.00004932647,0.000009353563,0.00000443978,0.000002055107,0.0001787837,7.043992e-7,0.00003108404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003927628,"threshold_uncertainty_score":0.00780952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004853865527573458,"score_gpt":0.2207857067429818,"score_spread":0.2159318412154083,"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."}}