{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001263679,0.0002450959,0.0005688759,0.0002362777,0.00006309355,0.00002449509,0.00008152217,0.00003699578,0.0002496468],"category_scores_gemma":[0.0006784589,0.0001992458,0.0002647972,0.0003180414,0.0001642984,0.00006111211,0.0003392899,0.0001728708,0.00003064733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509201,"about_ca_system_score_gemma":0.00004412815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003962094,"about_ca_topic_score_gemma":0.000138069,"domain_scores_codex":[0.9963693,0.001295235,0.0004172091,0.00145382,0.0001766088,0.0002878051],"domain_scores_gemma":[0.9981449,0.0001827338,0.0001027196,0.001076987,0.0001366034,0.0003560314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003656197,0.0009118257,0.9848066,0.00008940469,0.001531029,0.001637568,0.0004513421,0.000003152537,0.0004508679,0.000039174,0.0006480648,0.009065348],"study_design_scores_gemma":[0.002140147,0.0001512789,0.9906799,0.00009017419,0.001571252,0.000162556,0.00004008524,0.00009620121,0.0001996056,0.00002544875,0.00468325,0.0001601006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866872,0.009984878,0.0006023264,0.001376377,0.0001047916,0.0003686332,0.00005346814,0.0000335842,0.0007887237],"genre_scores_gemma":[0.9964754,0.001335507,0.0007156039,0.001105421,0.00009609768,0.0000259614,0.000127295,0.00002393788,0.00009475975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009788198,"threshold_uncertainty_score":0.8125007,"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."}}