{"id":"W4410158924","doi":"10.1097/hep.0000000000001356","title":"Comparison of diagnostic accuracy and utility of non-invasive tests for clinically significant liver disease in a general population with metabolic dysfunction","year":2025,"lang":"en","type":"article","venue":"Hepatology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"HORIZON EUROPE Framework Programme; Allergan; Julius Clinical; Grifols; Vlaamse regering; European Association for the Study of the Liver; Gilead Sciences; Amsterdam University Medical Centers; Fonds Wetenschappelijk Onderzoek; Novo Nordisk; Eisai; Eli Lilly and Company","keywords":"Medicine; Cirrhosis; Internal medicine; Population; Gastroenterology; Liver disease; Cohort; Liver fibrosis; Area under the curve; Diabetes mellitus; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.00009023274,0.0001036798,0.0005410925,0.0001094091,0.00002082281,0.000002340008,0.00002877545,0.0000584262,0.00001257485],"category_scores_gemma":[0.001066179,0.00007871789,0.00006783869,0.0001248691,0.00009287537,0.0000365661,0.0000216407,0.00005027391,4.720992e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000188657,"about_ca_system_score_gemma":0.0001988872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102176,"about_ca_topic_score_gemma":0.0003943629,"domain_scores_codex":[0.9990613,0.00006959616,0.0004294476,0.0002410198,0.00007901971,0.0001195707],"domain_scores_gemma":[0.9974697,0.001957405,0.0001753713,0.0001819198,0.0001303008,0.00008534337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001817714,0.001597254,0.9901764,0.0004459301,0.0001387535,0.000022072,0.00009067519,0.00001201554,0.00007623543,0.0005698268,0.00009902177,0.004954129],"study_design_scores_gemma":[0.00298949,0.000503948,0.9862284,0.0001783295,0.0008876174,7.216254e-7,0.00002473585,0.008023581,0.0008634735,0.0002110973,0.00003402937,0.00005454431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968707,0.001254178,0.0004097139,0.0002326485,0.00005264992,0.001095876,0.00005488207,0.000007176448,0.00002219154],"genre_scores_gemma":[0.9984754,0.0004189672,0.0006408659,0.0001041141,0.00001313844,0.0002140288,0.0001211188,0.000005699163,0.000006681243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008011566,"threshold_uncertainty_score":0.3210023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03748755112427531,"score_gpt":0.3680421138121974,"score_spread":0.330554562687922,"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."}}