{"id":"W1986076662","doi":"10.1118/1.1420733","title":"MR validation of soft tissue mimicing phantom deformation as modeled by nonlinear finite element analysis","year":2001,"lang":"en","type":"article","venue":"Medical Physics","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Imaging phantom; Finite element method; Materials science; Nonlinear system; Deformation (meteorology); Compression (physics); Stiffness; Poisson's ratio; Mechanics; Poisson distribution; Biomedical engineering; Geometry; Physics; Mathematics; Optics; Composite material; Engineering","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":[0.002025222,0.0006043493,0.0003561771,0.0004663255,0.0002126145,0.0004304916,0.0005550666,0.0006009942,0.000865976],"category_scores_gemma":[0.008550166,0.0002367664,0.0002432261,0.0002713136,0.000560191,0.0002950769,0.000461387,0.0002997621,0.0003668717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003018133,"about_ca_system_score_gemma":0.0004046031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001386696,"about_ca_topic_score_gemma":0.001101156,"domain_scores_codex":[0.9994252,0.0002332098,0.00004327764,0.0000587549,0.0002012974,0.00003830414],"domain_scores_gemma":[0.9977006,0.001534971,0.0001555355,0.0003132371,0.0002467334,0.00004885337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007464869,0.0002635285,0.003238642,0.0002804885,0.00003713387,0.000326783,0.0003951144,0.2359946,0.7324939,0.001807277,0.0002865279,0.02412947],"study_design_scores_gemma":[0.00005985338,0.00123001,0.004767697,0.00004937629,0.00002928823,0.0004965529,0.00007799922,0.6737871,0.3163905,0.0006968916,0.002365394,0.00004932348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7480572,0.0006390169,0.2473189,0.0002602023,0.00004941838,0.0001989674,0.0003621083,0.001022609,0.002091554],"genre_scores_gemma":[0.9424869,0.0003069818,0.05557813,0.00005923257,0.000008180501,0.0001416551,0.000204438,0.00008385001,0.001130499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002025222,"threshold_uncertainty_score":0.01071048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105059457810845,"score_gpt":0.2810712680294668,"score_spread":0.2705653222483823,"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."}}