{"id":"W4392728184","doi":"10.1148/radiol.231220","title":"Interpretation, Reporting, and Clinical Applications of Liver MR Elastography","year":2024,"lang":"en","type":"review","venue":"Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université Laval; Université de Montréal","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Food and Drug Administration; National Institutes of Health; U.S. Food and Drug Administration; Fondation de l'Association des radiologistes du Québec; Fonds de Recherche du Québec - Santé; Foundation for the National Institutes of Health; Institute of Nutrition, Metabolism and Diabetes; National Institute of Diabetes and Digestive and Kidney Diseases; U.S. Department of Defense","keywords":"Medicine; Cirrhosis; Hepatocellular carcinoma; Liver biopsy; Elastography; Transient elastography; Radiology; Liver fibrosis; Magnetic resonance elastography; Chronic liver disease; Biopsy; Fibrosis; Pathology; Internal medicine; Ultrasound","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":[0.007391166,0.0007618255,0.001412896,0.003974601,0.0002728098,0.002092638,0.001512373,0.001572219,0.002581379],"category_scores_gemma":[0.01437964,0.000407321,0.0007586039,0.002558321,0.001111083,0.001854547,0.0009337981,0.001678043,0.003157053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007691936,"about_ca_system_score_gemma":0.002973069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140624,"about_ca_topic_score_gemma":0.001773124,"domain_scores_codex":[0.9956818,0.001389837,0.0009297165,0.0003497033,0.001514943,0.0001340233],"domain_scores_gemma":[0.9912204,0.005097673,0.0009507659,0.0002923272,0.002312266,0.0001266753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006375593,0.00002558237,0.000586063,0.02114883,0.0001187542,0.0002502681,0.000154412,0.0001731008,0.001905552,0.002889604,0.02104049,0.9516436],"study_design_scores_gemma":[0.00002112005,0.00008377617,0.002838172,0.01621787,0.0002376524,0.003615722,0.0001518011,0.0001881515,0.002433122,0.002512189,0.9716419,0.00005855881],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003452536,0.9911295,0.001923927,0.001608865,0.0007315943,0.00004780171,0.00009965697,0.00003926089,0.004074085],"genre_scores_gemma":[0.003128522,0.9895585,0.004368622,0.0008683371,0.0008257856,0.00006161476,0.0001863179,0.00002089782,0.0009815256],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007391166,"threshold_uncertainty_score":0.03908873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05774567068052553,"score_gpt":0.425554192849003,"score_spread":0.3678085221684774,"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."}}