{"id":"W2030136310","doi":"10.1016/j.ultras.2012.09.010","title":"Estimating the local viscoelastic properties from dispersive shear waves using time–frequency ridge analysis","year":2012,"lang":"en","type":"article","venue":"Ultrasonics","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Viscoelasticity; Shear (geology); Frequency domain; Acoustics; Shear waves; Waveform; Dispersion (optics); Mechanics; Low frequency; Materials science; Time domain; Fourier transform; Physics; Optics; Mathematics; Composite material; Mathematical analysis","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":[0.0005062881,0.0005429992,0.0006213484,0.001225232,0.0001776567,0.0005885078,0.0004008001,0.0004518418,0.0005115392],"category_scores_gemma":[0.001464227,0.0004200199,0.0005445977,0.0009226727,0.0002697542,0.0012173,0.0004533322,0.0006541534,0.0005331374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009614907,"about_ca_system_score_gemma":0.0002533169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008278164,"about_ca_topic_score_gemma":0.001527164,"domain_scores_codex":[0.9998742,0.00002321351,0.000009259036,0.00003434786,0.00004239446,0.00001641979],"domain_scores_gemma":[0.9994029,0.0002262297,0.0001120336,0.0001063506,0.0001232701,0.00002925884],"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":[0.0003774017,0.0002660173,0.02329373,0.0001608427,0.0002030027,0.0003066274,0.0001961994,0.1362675,0.4586824,0.001717027,0.0006755265,0.3778538],"study_design_scores_gemma":[0.00001101786,0.0000631143,0.01223489,0.000007301051,0.00006364463,0.0000988401,0.00004712891,0.9508997,0.03500488,0.001145205,0.00039427,0.00003012596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.361875,0.0002435124,0.6364583,0.00005112296,0.00001260688,0.00001813752,0.0001195341,0.0005911482,0.0006306257],"genre_scores_gemma":[0.8063846,0.0004420078,0.1912287,0.00001547091,0.00003396655,0.00002627121,0.0003036552,0.0001562408,0.001409083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001225232,"threshold_uncertainty_score":0.0026775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127792762055991,"score_gpt":0.20608172806257,"score_spread":0.1933024518569709,"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."}}