{"id":"W2921807642","doi":"10.1093/jcag/gwz006.195","title":"A196 A COMPARISON OF LIVER FIBROSIS AND SIMPLE STEATOSIS ASSESSMENT USING GADOXETIC-ACID ENHANCED MRI WITH MR ELASTOGRAPHY AND MRI FAT FRACTION","year":2019,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Steatohepatitis; Medicine; Magnetic resonance elastography; Gadoxetic acid; Steatosis; Cirrhosis; Transient elastography; Liver biopsy; Fatty liver; Elastography; Population; Internal medicine; Fibrosis; Gastroenterology; Radiology; Magnetic resonance imaging; Biopsy; Disease; Ultrasound","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":[0.002544044,0.0005192623,0.0006377113,0.001689915,0.0002965799,0.0009102863,0.0003932639,0.000444402,0.006201013],"category_scores_gemma":[0.004887321,0.0002348302,0.0008320133,0.001001465,0.0004033062,0.001016688,0.0007252272,0.0003559491,0.001077158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003749318,"about_ca_system_score_gemma":0.0004552337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007735327,"about_ca_topic_score_gemma":0.001427263,"domain_scores_codex":[0.9985017,0.0004618116,0.0002050891,0.0002663592,0.0004985171,0.00006655299],"domain_scores_gemma":[0.9970547,0.001229448,0.0007077346,0.0002187701,0.0004972125,0.0002921805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04313428,0.001273493,0.8380008,0.001208799,0.002208904,0.0004942396,0.0004602617,0.0005920039,0.01268702,0.0007201707,0.001719557,0.09750039],"study_design_scores_gemma":[0.000647735,0.01090892,0.9757725,0.0001809966,0.0007378948,0.002319234,0.0003352514,0.001643371,0.002454752,0.0005221785,0.0044239,0.00005326469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838695,0.00618004,0.002801547,0.0001061678,0.0002053393,0.000308175,0.001348995,0.00005458621,0.005125656],"genre_scores_gemma":[0.9937451,0.0008328741,0.002768954,0.00008657791,0.00009184645,0.0001723383,0.0009362014,0.00001482618,0.001351311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006201013,"threshold_uncertainty_score":0.02074438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008441422174802558,"score_gpt":0.2558645907441933,"score_spread":0.2474231685693908,"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."}}