{"id":"W2606075854","doi":"10.1121/1.4979695","title":"Simulation of acoustic guided wave propagation in cortical bone using a semi-analytical finite element method","year":2017,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep Edouard Montpetit; Université de Montréal; École de Technologie Supérieure","funders":"","keywords":"Acoustics; Finite element method; Context (archaeology); Cortical bone; Group velocity; Materials science; Anisotropy; Amplitude; Guided wave testing; Wave propagation; Perfectly matched layer; Mechanics; Physics; Optics; Geology","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":[0.0003216058,0.0004090198,0.0003912538,0.0003948036,0.0002977441,0.0005170709,0.0009537157,0.001042138,0.001745718],"category_scores_gemma":[0.0008366047,0.0003983731,0.0004639976,0.0002774989,0.0004471061,0.0003239951,0.0004451414,0.0004097264,0.0003613163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003029526,"about_ca_system_score_gemma":0.0008462399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004130478,"about_ca_topic_score_gemma":0.00333279,"domain_scores_codex":[0.9998745,0.00003851037,0.00000841238,0.00001300374,0.0000539979,0.00001153659],"domain_scores_gemma":[0.9995845,0.0002620374,0.00003869672,0.00002942971,0.0000705141,0.00001472288],"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":[0.00003201881,0.0000393929,0.0004955157,0.00007307976,0.00001469935,0.00006730766,0.00009128395,0.9763778,0.01314155,0.001971799,0.0001108527,0.007584569],"study_design_scores_gemma":[0.000002963669,0.000007472244,0.00004729874,0.000002722854,0.000001578784,0.00001178365,0.000006958179,0.9988272,0.0007494446,0.0001505762,0.0001896278,0.000002399672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08645413,0.0001581272,0.9075351,0.0001000807,0.00002772152,0.0001089372,0.0001787761,0.0006321353,0.004805039],"genre_scores_gemma":[0.6374525,0.0003238059,0.3559711,0.00005428355,0.000008756736,0.000402118,0.0002315677,0.0001146165,0.005441272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004130478,"threshold_uncertainty_score":0.008212864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03641430239914322,"score_gpt":0.3070557288367801,"score_spread":0.2706414264376369,"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."}}