{"id":"W2051357690","doi":"10.1088/0031-9155/53/22/018","title":"Viscoelastic characterization of soft tissue from dynamic finite element models","year":2008,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viscoelasticity; Elasticity (physics); Rheology; Finite element method; Rheometry; Uniqueness; Inverse problem; Inverse; Mathematics; Mathematical analysis; Mechanics; Materials science; Physics; Thermodynamics; Geometry; Composite material","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":[0.000456853,0.0004606413,0.0004760798,0.0007890554,0.0001602361,0.000679498,0.0005685994,0.0008226979,0.0008034605],"category_scores_gemma":[0.001784386,0.0003882754,0.0005698123,0.0003026478,0.0004341611,0.000862118,0.0005990213,0.0005186924,0.0004190147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002637634,"about_ca_system_score_gemma":0.0003963991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005779477,"about_ca_topic_score_gemma":0.0006105533,"domain_scores_codex":[0.9997851,0.00004396933,0.00001479836,0.00002879941,0.0001170569,0.00001025618],"domain_scores_gemma":[0.99963,0.000196348,0.00004584204,0.00004815434,0.00006488217,0.00001481631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002601798,0.00003932927,0.0005281696,0.0001336538,0.00002289597,0.0001342058,0.0001248659,0.8432963,0.08355491,0.01626467,0.0003353054,0.05553974],"study_design_scores_gemma":[0.000002370658,0.00001169907,0.0001364821,0.00001192443,0.000004809448,0.00008679652,0.000007242247,0.991414,0.004455786,0.002285307,0.001574921,0.000008781423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007644374,0.0001586911,0.9913074,0.00003943704,0.000009200838,0.00001410273,0.00001773794,0.0001040648,0.0007049719],"genre_scores_gemma":[0.3400562,0.001356758,0.653447,0.00008201916,0.00003554674,0.0002066113,0.000241893,0.0001361812,0.004437814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008226979,"threshold_uncertainty_score":0.002687871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08036063420866926,"score_gpt":0.3345263025358219,"score_spread":0.2541656683271526,"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."}}