{"id":"W2752535395","doi":"10.1097/rmr.0000000000000149","title":"Liver Fibrosis Quantification by Magnetic Resonance Imaging","year":2017,"lang":"en","type":"review","venue":"Topics in Magnetic Resonance Imaging","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"CARE Canada; Canadian Institutes of Health Research; Centre Hospitalier de l’Université de Montréal; Philips (Canada); Institute of Nutrition, Metabolism and Diabetes; Université de Montréal","funders":"Institute of Nutrition, Metabolism and Diabetes; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Magnetic resonance imaging; Elastography; Medicine; Magnetic resonance elastography; Fibrosis; Radiology; Chronic liver disease; Liver biopsy; Hepatic fibrosis; Liver disease; Cirrhosis; Ultrasound; Pathology; Biopsy; Internal medicine","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":[0.0009234481,0.0008608252,0.001639541,0.003568333,0.0001914777,0.0009782824,0.0006591813,0.0009748975,0.00217233],"category_scores_gemma":[0.001206718,0.0002547535,0.0006425183,0.00221585,0.0005454355,0.001192922,0.0006186939,0.001211189,0.001923784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005348909,"about_ca_system_score_gemma":0.0007299508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064032,"about_ca_topic_score_gemma":0.001233142,"domain_scores_codex":[0.999661,0.00005462665,0.00005001291,0.00006818272,0.0001441025,0.00002208306],"domain_scores_gemma":[0.9994306,0.0002628602,0.00008719249,0.00001760953,0.0001733587,0.00002830404],"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":[0.00006914159,0.00005037474,0.0006879612,0.01213371,0.0001394225,0.0002033667,0.00004459291,0.000378118,0.003645357,0.002562768,0.01429979,0.9657854],"study_design_scores_gemma":[0.0000244518,0.0001928525,0.004820122,0.006923496,0.0003905697,0.005087739,0.0001130753,0.0007024345,0.004965947,0.004421143,0.9722812,0.00007684147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003198489,0.996779,0.0008733941,0.0003139747,0.0001818484,0.000009621001,0.0000434452,0.00002231325,0.001456558],"genre_scores_gemma":[0.002805443,0.9947497,0.001098754,0.0002097917,0.0002785755,0.00001582894,0.00009453517,0.000005970791,0.0007414453],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003568333,"threshold_uncertainty_score":0.007267118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04870972956068827,"score_gpt":0.3443038531492177,"score_spread":0.2955941235885295,"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."}}