{"id":"W4200014744","doi":"10.1007/s00330-021-08381-z","title":"MR elastography in nonalcoholic fatty liver disease: inter-center and inter-analysis-method measurement reproducibility and accuracy at 3T","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institute on Minority Health and Health Disparities; National Center for Research Resources; Institute of Nutrition, Metabolism and Diabetes; National Institute of Diabetes and Digestive and Kidney Diseases; Fonds de Recherche du Québec - Santé; National Center on Minority Health and Health Disparities; National Institute of Biomedical Imaging and Bioengineering; Fulbright Canada","keywords":"Medicine; Intraclass correlation; Receiver operating characteristic; Reproducibility; Nonalcoholic fatty liver disease; Magnetic resonance elastography; Nuclear medicine; Neuroradiology; Fatty liver; Radiology; Elastography; Ultrasound; Internal medicine; Mathematics; Disease; Statistics","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":[0.02735426,0.0004898429,0.000679363,0.001290777,0.0003426637,0.001110023,0.0006523703,0.000551165,0.0004252063],"category_scores_gemma":[0.04869577,0.0003514294,0.0007058276,0.0007772912,0.0006285518,0.0008067249,0.000751058,0.0003451282,0.0002821583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002924404,"about_ca_system_score_gemma":0.000312744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008172753,"about_ca_topic_score_gemma":0.001322966,"domain_scores_codex":[0.9780838,0.01089013,0.002282401,0.003652171,0.004770637,0.0003208285],"domain_scores_gemma":[0.9503192,0.02185094,0.01202548,0.007049723,0.008439393,0.0003152237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003700616,0.0000375632,0.982525,0.00006152161,0.0007333613,0.00006286767,0.00034853,0.0004522928,0.002141152,0.00004600168,0.0001264777,0.01309509],"study_design_scores_gemma":[0.00002872382,0.0003966118,0.9906133,0.00003559632,0.0003162154,0.0008192301,0.0001540585,0.004291966,0.002837376,0.00009817116,0.0003868607,0.00002176873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854328,0.002204465,0.01114304,0.00005873656,0.00003441701,0.00004956697,0.0002054537,0.00007888236,0.000792701],"genre_scores_gemma":[0.9968829,0.00009984069,0.002730496,0.00001713717,0.0000200201,0.0000222716,0.000120412,0.00002252142,0.00008448726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02735426,"threshold_uncertainty_score":0.1446649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045016566388439,"score_gpt":0.2996718843207537,"score_spread":0.2592217186568693,"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."}}