{"id":"W3203473458","doi":"10.1016/j.cgh.2021.09.041","title":"Clinical Utility of Magnetic Resonance Imaging Biomarkers for Identifying Nonalcoholic Steatohepatitis Patients at High Risk of Progression: A Multicenter Pooled Data and Meta-Analysis","year":2021,"lang":"en","type":"review","venue":"Clinical Gastroenterology and Hepatology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Liver Centre; University Health Network","funders":"","keywords":"Medicine; Nonalcoholic fatty liver disease; Cirrhosis; Internal medicine; Gastroenterology; Fibrosis; Nonalcoholic steatohepatitis; Fatty liver; Magnetic resonance imaging; Steatohepatitis; Receiver operating characteristic; Disease; Radiology","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":[0.001624747,0.0004974645,0.008613621,0.0002227786,0.00009147466,0.00001014828,0.0003133114,0.000488502,0.0002659262],"category_scores_gemma":[0.0009131594,0.0003510101,0.002808779,0.0001747133,0.001353507,0.00005731234,0.001118543,0.0004228465,0.000001757803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002266814,"about_ca_system_score_gemma":0.0001363287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008551883,"about_ca_topic_score_gemma":0.0002703862,"domain_scores_codex":[0.9920038,0.002504095,0.003230839,0.001606337,0.000218671,0.0004362362],"domain_scores_gemma":[0.9931731,0.002944927,0.001883307,0.001330828,0.0003267732,0.0003410196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008133414,0.001648465,0.76455,0.002419129,0.07454158,0.00005995844,0.000006996967,3.376742e-9,4.355379e-9,0.000003384687,0.0002895496,0.1556676],"study_design_scores_gemma":[0.003654809,0.0009650013,0.5044994,0.0003505988,0.4794195,0.0000209976,0.000004684849,0.0001840163,8.605334e-8,0.000007833695,0.01079621,0.00009682458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1528654,0.840762,0.00003839609,0.0001531668,0.000197148,0.001460662,0.004510912,0.00000953351,0.000002803406],"genre_scores_gemma":[0.1144201,0.8801985,0.002251328,0.0002908272,0.00003967943,0.000239047,0.002518483,0.00003030499,0.00001165197],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.404878,"threshold_uncertainty_score":0.9998942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1731648865973693,"score_gpt":0.4590141049635603,"score_spread":0.285849218366191,"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."}}