{"id":"W2007315380","doi":"10.1177/1475921712467490","title":"Comparison of metrics to monitor and compensate for piezoceramic debonding in structural health monitoring","year":2012,"lang":"en","type":"article","venue":"Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Université de Sherbrooke","funders":"","keywords":"Admittance; Acoustics; Transducer; Structural health monitoring; Materials science; Degradation (telecommunications); SIGNAL (programming language); Amplitude; Capacitance; Resonance (particle physics); Modal; Frequency domain; Phase (matter); Adhesive; Layer (electronics); Computer science; Electrical impedance; Electronic engineering; Physics; Optics; Composite material; Engineering; Electrical engineering; Electrode","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":[0.001064274,0.0006731216,0.001446999,0.001023155,0.0004937251,0.0000726429,0.0004425012,0.0002428119,0.000002481172],"category_scores_gemma":[0.0001654042,0.0006983213,0.0001162713,0.001132499,0.00007196366,0.0005921929,0.0001736818,0.0007784094,0.00000154933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002022293,"about_ca_system_score_gemma":0.00009186447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158296,"about_ca_topic_score_gemma":0.00002522408,"domain_scores_codex":[0.9947134,0.0001639393,0.00181557,0.000545699,0.000584951,0.002176419],"domain_scores_gemma":[0.9973505,0.0005444528,0.0004430704,0.0004842695,0.0001427016,0.00103504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006972193,0.000008244885,0.7158581,0.002220226,0.00003072651,5.998524e-7,0.005430976,0.001475813,0.001306605,0.000231771,0.00004100899,0.2733262],"study_design_scores_gemma":[0.0007930344,0.0004160633,0.9584258,0.0009952014,0.00001396447,0.00002160787,0.001670133,0.008450299,0.0279679,0.0003771106,0.0001525989,0.0007162923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773663,0.01068043,0.0004607048,0.0001883432,0.008786378,0.001857575,0.00005934461,0.000586293,0.0000146109],"genre_scores_gemma":[0.9347647,0.0002914423,0.06271284,0.00002365566,0.001910306,0.0001332418,0.00001266103,0.0001456266,0.000005550077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2726099,"threshold_uncertainty_score":0.9995468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07200410618941354,"score_gpt":0.4227577475484881,"score_spread":0.3507536413590746,"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."}}