{"id":"W2792983873","doi":"10.1177/1045389x17754266","title":"Structural health monitoring of rotary aerospace structures based on electromechanical impedance of integrated piezoelectric transducers","year":2018,"lang":"en","type":"article","venue":"Journal of Intelligent Material Systems and Structures","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Air Force Institute of Technology","keywords":"Structural health monitoring; Acoustics; Piezoelectricity; Electrical impedance; Transducer; Mechanical impedance; Materials science; Piezoelectric sensor; Spectrum analyzer; Engineering; Structural engineering; Electronic engineering; Electrical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003856347,0.0003643901,0.0009306841,0.0003952191,0.00008890253,0.00005237497,0.0003359044,0.0002028389,0.00003073762],"category_scores_gemma":[0.00005664763,0.0002690932,0.0001356492,0.0003001113,0.0001185059,0.0001157131,0.00001751078,0.0003875318,1.335671e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002878924,"about_ca_system_score_gemma":0.000142486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003956654,"about_ca_topic_score_gemma":0.000004756535,"domain_scores_codex":[0.9973086,0.0001499548,0.001386038,0.0002039508,0.0005236544,0.0004277651],"domain_scores_gemma":[0.9984064,0.00008620863,0.000724155,0.0002494905,0.0003352134,0.0001985967],"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":[0.005426028,0.00005161949,0.009363369,0.007174105,0.0008151319,0.00003487114,0.003390306,0.03345431,0.7354032,0.005495423,0.0008993135,0.1984924],"study_design_scores_gemma":[0.000587512,0.004599481,0.02262606,0.001097317,0.00005030888,0.0002280016,0.0003636655,0.01220888,0.9559282,0.001761459,0.0001322108,0.000416884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908647,0.001400949,0.002554733,0.00002439901,0.004668793,0.0003449448,0.00006067639,0.00007112517,0.00000965676],"genre_scores_gemma":[0.9945925,0.0003189931,0.003985468,0.000009137222,0.001037095,0.000003641804,0.000003804236,0.00004754062,0.00000185014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2205251,"threshold_uncertainty_score":0.9999761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760859318654119,"score_gpt":0.2835116038249655,"score_spread":0.2659030106384244,"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."}}