{"id":"W2411235467","doi":"10.4329/wjr.v8.i1.59","title":"General review of magnetic resonance elastography","year":2016,"lang":"en","type":"review","venue":"World Journal of Radiology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; NIHR Cambridge Biomedical Research Centre; National Institutes of Health","keywords":"Magnetic resonance elastography; Palpation; Magnetic resonance imaging; Medicine; Elastography; Radiology; Biomedical engineering; Medical physics; Soft tissue; 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":[0.0006435862,0.001299642,0.00155667,0.007066823,0.0003663268,0.001356807,0.001281415,0.001163446,0.01184105],"category_scores_gemma":[0.00163302,0.0004581004,0.0008433207,0.005564895,0.0004728432,0.002202035,0.0007019961,0.001450594,0.008331054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007192056,"about_ca_system_score_gemma":0.001497114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001461813,"about_ca_topic_score_gemma":0.001526664,"domain_scores_codex":[0.9996487,0.00004764313,0.00008033949,0.00007780609,0.0001194352,0.00002609485],"domain_scores_gemma":[0.9992852,0.0003240717,0.0001060851,0.00002334088,0.0002039047,0.00005731497],"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":[0.00007013101,0.0000774047,0.0002629541,0.03963431,0.00008881096,0.0004861543,0.00009655557,0.000390414,0.001528279,0.003491849,0.1110735,0.8427995],"study_design_scores_gemma":[0.000009066271,0.00004705087,0.0007718348,0.006088749,0.00006081465,0.001819395,0.00004198931,0.00005148599,0.0001928185,0.001097916,0.9897976,0.00002138433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009098413,0.9965208,0.0001877751,0.0003792273,0.0005419216,0.00001319344,0.00007661778,0.00001980723,0.002169776],"genre_scores_gemma":[0.0004043532,0.9977491,0.0002667936,0.0002283025,0.0004650003,0.0000125556,0.00009891237,0.000003018068,0.000771843],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01184105,"threshold_uncertainty_score":0.03961229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164819725462907,"score_gpt":0.3035870398328879,"score_spread":0.2871050672865972,"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."}}