{"id":"W2535333902","doi":"10.1109/ultsym.2008.0154","title":"Dynamic micro-elastography applied to the viscoelastic characterization of a mimicking artery and a porcine aorta","year":2008,"lang":"en","type":"article","venue":"","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Viscoelasticity; Imaging phantom; Biomedical engineering; Materials science; Elasticity (physics); Elastography; Acoustics; Transducer; Ultrasound; Carotid arteries; Shearing (physics); Composite material; Physics; Optics; Surgery; Medicine","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":[0.000416347,0.0003093834,0.0002056977,0.0002283311,0.0001002821,0.000267068,0.0001662842,0.0004394534,0.0006857063],"category_scores_gemma":[0.0006808781,0.0002725324,0.0001987417,0.000198733,0.0003365,0.0002239551,0.000251493,0.0002572244,0.0001548832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009695948,"about_ca_system_score_gemma":0.0001840264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002217921,"about_ca_topic_score_gemma":0.0003367823,"domain_scores_codex":[0.9998713,0.00003920132,0.000007251598,0.00003516866,0.00003317297,0.00001390401],"domain_scores_gemma":[0.9997692,0.0001347648,0.00002241744,0.00004063565,0.00002023882,0.0000128169],"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":[0.00003212157,0.000008939517,0.0003109393,0.00003056162,0.000003295949,0.00008013771,0.00002733106,0.001348071,0.9919774,0.0001797042,0.00001329573,0.005988134],"study_design_scores_gemma":[0.0000164536,0.000582214,0.01480984,0.00002599214,0.00005375398,0.002091473,0.0000747911,0.0706514,0.907697,0.0007076803,0.003256835,0.00003255829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6130133,0.001585068,0.3825001,0.0001645077,0.00006173959,0.00008044101,0.00009341685,0.000196994,0.002304438],"genre_scores_gemma":[0.8714522,0.001015437,0.1263093,0.00003040771,0.0000127438,0.00007372888,0.00006628234,0.00002109509,0.001018831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006857063,"threshold_uncertainty_score":0.002293885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005633708901014083,"score_gpt":0.1696471579222772,"score_spread":0.1640134490212631,"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."}}