{"id":"W1972664973","doi":"10.1117/12.2009868","title":"Multi-element, high-temperature integrated ultrasonic transducers for structural health monitoring","year":2013,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Ultrasonic sensor; Transducer; Materials science; Broadband; Structural health monitoring; Piezoelectricity; Structural element; Acoustics; Phased array; Electronic engineering; Electrical engineering; Computer science; Engineering; Composite material; Telecommunications","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":[0.0004038791,0.0004659996,0.0003996135,0.0004492471,0.0001273046,0.0003962952,0.0007517439,0.0007150662,0.001459058],"category_scores_gemma":[0.0005103946,0.0002819214,0.0002643419,0.0003216873,0.0003159808,0.0008705615,0.0003865279,0.0007011309,0.0006276587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000333301,"about_ca_system_score_gemma":0.0001493383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001451465,"about_ca_topic_score_gemma":0.0005611692,"domain_scores_codex":[0.9995535,0.00004418098,0.00001864318,0.0001161388,0.0002369242,0.00003073224],"domain_scores_gemma":[0.9996543,0.0001222272,0.00005677992,0.00002769815,0.0001077438,0.0000313795],"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":[0.0000729426,0.0000365414,0.0004368645,0.0002108358,0.00001865334,0.00004681371,0.00004822467,0.001391253,0.9285316,0.0008957344,0.0003948297,0.06791567],"study_design_scores_gemma":[0.00002113363,0.0005700584,0.002274865,0.00004781541,0.00009798966,0.0008533161,0.00004712792,0.03630298,0.9237854,0.0006044265,0.03534767,0.00004720538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1491089,0.04753379,0.791019,0.0006617337,0.0005616152,0.0001153727,0.0001686591,0.001339604,0.009491295],"genre_scores_gemma":[0.3865078,0.01170255,0.5925038,0.0003102757,0.0003555609,0.00009067274,0.0001941674,0.0001014231,0.008233706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001459058,"threshold_uncertainty_score":0.004881024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009960903209738697,"score_gpt":0.2270312449372278,"score_spread":0.2170703417274891,"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."}}