{"id":"W4220707990","doi":"10.1002/jmri.28154","title":"Prospective Evaluation of Virtual <scp>MR</scp> Elastography With Diffusion‐Weighted Imaging in Subjects With <scp>Nonalcoholic</scp> Fatty Liver Disease","year":2022,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Nova Scotia Research Innovation Trust","keywords":"Nonalcoholic fatty liver disease; Magnetic resonance elastography; Medicine; Fatty liver; Cirrhosis; Elastography; Effective diffusion coefficient; Diffusion MRI; Liver biopsy; Fibrosis; Prospective cohort study; Chronic liver disease; Magnetic resonance imaging; Biopsy; Radiology; Nuclear medicine; Internal medicine; Ultrasound; Disease","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":[0.002904105,0.000467707,0.000382983,0.0006189022,0.0005304304,0.0005728361,0.0003237938,0.0008299497,0.001538494],"category_scores_gemma":[0.005674289,0.0004624596,0.0003402094,0.0004637692,0.0004726458,0.0007226918,0.0005676124,0.0005379861,0.0005730114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001810827,"about_ca_system_score_gemma":0.0002500005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259314,"about_ca_topic_score_gemma":0.001664496,"domain_scores_codex":[0.9989349,0.0004569439,0.0001084995,0.0002403603,0.0001639559,0.00009535775],"domain_scores_gemma":[0.9959299,0.001251136,0.001170329,0.0002967028,0.000728709,0.0006231748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006138872,0.0001150811,0.9982213,0.00000678857,0.00002480919,0.00005620662,0.00006703127,0.00002284307,0.0003201612,0.00000469287,0.00002231736,0.0005247457],"study_design_scores_gemma":[0.00004131959,0.001661262,0.9973205,0.000004847259,0.00002876018,0.0003140152,0.0001500587,0.000243439,0.0001507591,0.000007148885,0.00007381167,0.000004083853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996672,0.00005012309,0.00007258424,0.000009560377,0.000003624864,0.00001596052,0.00004311545,0.000002463489,0.0001355398],"genre_scores_gemma":[0.9996462,0.0000138982,0.00013979,0.00001135701,0.000007011859,0.00001482816,0.0001020668,0.00000142504,0.00006336998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002904105,"threshold_uncertainty_score":0.01535857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009181793145442037,"score_gpt":0.2419175394096063,"score_spread":0.2327357462641643,"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."}}