{"id":"W2058225578","doi":"10.1109/tuffc.2014.2934","title":"Acoustic precursor wave propagation in viscoelastic media","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Optical and Acousto-Optic Technologies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Attenuation; Viscoelasticity; Wave propagation; Acoustic attenuation; Waveform; Acoustics; Debye; Amplitude; Physics; Optics; Computer science; Telecommunications; Condensed matter physics","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":[0.000172376,0.000387891,0.0001507818,0.0006276739,0.0001998939,0.0004443725,0.000315225,0.0004079551,0.0006186807],"category_scores_gemma":[0.001207296,0.0001792085,0.0001306632,0.000297356,0.0005436427,0.0009070358,0.0003796441,0.0004119064,0.0001341364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002749151,"about_ca_system_score_gemma":0.0002189403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006565968,"about_ca_topic_score_gemma":0.0003070066,"domain_scores_codex":[0.999938,0.00001703575,0.000002872811,0.00001232624,0.00002150338,0.000008289091],"domain_scores_gemma":[0.9996401,0.0001855043,0.00008783234,0.00002200072,0.0000491974,0.00001530498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001218848,0.00007499771,0.003694046,0.0003663112,0.0000190852,0.001129951,0.00135795,0.1481371,0.2821311,0.4948182,0.0008375808,0.06731183],"study_design_scores_gemma":[0.00001910477,0.0001818762,0.001618852,0.00003097468,0.00001099153,0.0006456242,0.0001708321,0.8928512,0.04118571,0.05787499,0.005372944,0.00003697091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3785817,0.002384917,0.6072128,0.0002428645,0.00008000484,0.00006173445,0.0000626496,0.0002063636,0.01116693],"genre_scores_gemma":[0.9532713,0.002367451,0.03903557,0.00004433088,0.00004161035,0.00004598319,0.00004478693,0.00001913194,0.005129828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006565968,"threshold_uncertainty_score":0.002069652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00750716516387915,"score_gpt":0.2006666090718023,"score_spread":0.1931594439079231,"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."}}