{"id":"W2006303959","doi":"10.1088/0266-5611/27/8/085002","title":"Real-time solution of the finite element inverse problem of viscoelasticity","year":2011,"lang":"en","type":"article","venue":"Inverse Problems","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique","keywords":"Mathematics; Finite element method; Inverse problem; Viscoelasticity; Mathematical analysis; System of linear equations; Quadratic equation; Singular value decomposition; Sensitivity (control systems); Applied mathematics; A priori and a posteriori; Displacement (psychology); Mathematical optimization; Algorithm; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003274845,0.0001581753,0.0002907169,0.000145687,0.00006354508,0.00000405515,0.0001540706,0.00007512938,0.0003221085],"category_scores_gemma":[0.00006435862,0.0001109318,0.0002009989,0.0003426535,0.0003763484,0.0000977313,0.00007815264,0.000176193,0.00005198315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003949225,"about_ca_system_score_gemma":0.0001174692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148245,"about_ca_topic_score_gemma":0.00007976328,"domain_scores_codex":[0.9986683,0.00006714711,0.0004612027,0.0002149784,0.0003182572,0.0002700929],"domain_scores_gemma":[0.9989703,0.00005261473,0.0003109726,0.0003851416,0.0001854857,0.00009543302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003939487,0.001421953,0.1823841,0.001219413,0.0004619937,0.000002463845,0.01269447,0.0005068904,0.7913222,0.0006846174,0.007970646,0.0009372617],"study_design_scores_gemma":[0.02463355,0.009344059,0.2481085,0.01058877,0.005389843,0.0002440515,0.004074826,0.04901866,0.5542388,0.02575519,0.0658223,0.002781431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422962,0.00004109064,0.002540248,0.0003521165,0.0002409518,0.00128498,0.00004376583,0.0001260632,0.05307456],"genre_scores_gemma":[0.973866,0.00008301686,0.0249839,0.0001237896,0.00003440722,0.00002945518,0.00001304101,0.00002555802,0.00084086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2370834,"threshold_uncertainty_score":0.4523666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330241080998106,"score_gpt":0.2281694753778179,"score_spread":0.2048670645678368,"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."}}