{"id":"W3056914956","doi":"10.1177/1475921720947407","title":"Selective generation of ultrasonic guided waves for damage detection in rectangular bars","year":2020,"lang":"en","type":"article","venue":"Structural Health Monitoring","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Direction Générale de l’Armement; Fonds de recherche du Québec – Nature et technologies; Agence Nationale de la Recherche","keywords":"Laser Doppler vibrometer; Acoustics; Structural health monitoring; Ultrasonic sensor; Finite element method; Bar (unit); Piezoelectricity; Transducer; Lamb waves; Structural engineering; Ultrasonic testing; Modal analysis; Laser scanning vibrometry; Materials science; Optics; Engineering; Surface wave; Physics; Laser","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002217305,0.0002627709,0.0002282332,0.000257179,0.00008060964,0.0001204427,0.0003434768,0.0002474803,0.0004368883],"category_scores_gemma":[0.0002807212,0.00018893,0.0001206275,0.0001360392,0.0003744094,0.0001758462,0.0002951678,0.0001876784,0.0001353699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001163025,"about_ca_system_score_gemma":0.0001160142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002435055,"about_ca_topic_score_gemma":0.0004620534,"domain_scores_codex":[0.9999026,0.00001736622,0.000002964229,0.00002132597,0.00004090217,0.00001485658],"domain_scores_gemma":[0.9997035,0.0001430817,0.00008509597,0.00002121495,0.000031299,0.00001579346],"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":[0.0001052853,0.00002656366,0.0008110321,0.00005030831,0.000006080213,0.00006572644,0.00006456844,0.005846146,0.9867378,0.0003411194,0.00003562406,0.005909719],"study_design_scores_gemma":[0.00002382929,0.0006597252,0.003366297,0.00001038115,0.00001319562,0.0001354642,0.000059728,0.1140892,0.8810592,0.0002092979,0.0003536211,0.00002007554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951588,0.0002930007,0.04733975,0.0000309259,0.00001093364,0.00001294743,0.00001865358,0.0001675017,0.0005384312],"genre_scores_gemma":[0.9851324,0.00009911181,0.01440758,0.000007050685,0.000002574882,0.00001114222,0.0000137267,0.000008720428,0.0003178341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004368883,"threshold_uncertainty_score":0.001461565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04178542855237065,"score_gpt":0.2907851078187539,"score_spread":0.2489996792663833,"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."}}