{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02772206,0.004325392,0.01742592,0.005079352,0.0008177894,0.0038736,0.002457584,0.002889879,0.002221812],"category_scores_gemma":[0.04133615,0.00197365,0.06215894,0.005332792,0.0007776498,0.001637728,0.001997712,0.002331464,0.0003005012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374486,"about_ca_system_score_gemma":0.001178698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004886848,"about_ca_topic_score_gemma":0.005211513,"domain_scores_codex":[0.980767,0.01134277,0.002914032,0.003172366,0.00131269,0.0004911463],"domain_scores_gemma":[0.9659141,0.0236042,0.004882081,0.002924386,0.002215842,0.0004594223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.007925376,0.00002225567,0.02384308,0.01045559,0.9533206,0.00006791031,0.00002472436,0.0008927051,0.0002045034,0.00003762092,0.0002841609,0.002921413],"study_design_scores_gemma":[0.001018671,0.000218068,0.01022077,0.0005342984,0.9867575,0.00006373676,0.0000150981,0.0006830983,0.0000963514,0.00009403859,0.0002773204,0.00002103161],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.126276,0.8608845,0.00647916,0.0005348619,0.000641212,0.000596094,0.003431091,0.0002669996,0.0008901439],"genre_scores_gemma":[0.9163154,0.07314309,0.004764481,0.0008219575,0.000503717,0.001162651,0.002706533,0.000110561,0.0004716757],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02772206,"threshold_uncertainty_score":0.14661,"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."}}