{"id":"W2145046419","doi":"10.1109/icmens.2005.1","title":"A method for crack detection in structures using piezoelectric sensors and actuators","year":2006,"lang":"en","type":"article","venue":"","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Piezoelectricity; Actuator; Acoustics; Voltage; Materials science; Vibration; Piezoelectric sensor; Natural frequency; Piezoelectric accelerometer; PMUT; Structural engineering; Engineering; Electrical engineering; Composite material; 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":[0.0005828575,0.0007053071,0.0005094444,0.001874955,0.0005848419,0.0004117859,0.00104236,0.00146117,0.001597491],"category_scores_gemma":[0.001291086,0.0007257679,0.0004991436,0.0007170899,0.0006822444,0.001012394,0.000683923,0.001422846,0.0007154513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003065688,"about_ca_system_score_gemma":0.000463066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004244727,"about_ca_topic_score_gemma":0.0008090166,"domain_scores_codex":[0.9986578,0.0000954461,0.00004209583,0.0002003912,0.0009597272,0.00004444298],"domain_scores_gemma":[0.9991296,0.0003919504,0.00009328625,0.0001042728,0.0002412367,0.0000397183],"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":[0.00006771409,0.00006176095,0.0003934999,0.0002988242,0.00002658021,0.0001116219,0.00007025577,0.0003519562,0.9276134,0.001254685,0.0007414683,0.0690084],"study_design_scores_gemma":[0.00004887205,0.0004981484,0.002998241,0.00004534104,0.00005243485,0.002341524,0.00003008583,0.01544692,0.9659196,0.0007038451,0.01182001,0.00009506132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05078775,0.003886061,0.9383163,0.0004210107,0.0005708818,0.0005112797,0.0002762239,0.00140872,0.003821816],"genre_scores_gemma":[0.2281021,0.001998362,0.7622458,0.0002222078,0.0001153526,0.0003907964,0.0001801489,0.00006792671,0.006677241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001874955,"threshold_uncertainty_score":0.005344152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163820195089208,"score_gpt":0.3089924085037806,"score_spread":0.2926103889948597,"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."}}