{"id":"W4402082246","doi":"10.1016/j.iintel.2024.100121","title":"Enhanced operational modal analysis and change point detection for vibration-based structural health monitoring of bridges","year":2024,"lang":"en","type":"article","venue":"Journal of Infrastructure Intelligence and Resilience","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Université de Moncton","funders":"New Brunswick Innovation Foundation","keywords":"Structural health monitoring; Operational Modal Analysis; Change detection; Modal; Modal analysis; Vibration; Structural engineering; Acoustics; Computer science; Environmental science; Engineering; Materials science; Physics; Artificial intelligence; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004255542,0.0005214218,0.0002825166,0.0009237301,0.0001204306,0.0003792717,0.0004517109,0.0003610451,0.001292952],"category_scores_gemma":[0.001280185,0.0001574735,0.0003130157,0.0005451958,0.0001531401,0.0006283161,0.0004758069,0.0004644445,0.0003047864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001895028,"about_ca_system_score_gemma":0.0002522925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002467413,"about_ca_topic_score_gemma":0.005227596,"domain_scores_codex":[0.9996912,0.00005478357,0.00001170231,0.00007434062,0.0001430394,0.0000250244],"domain_scores_gemma":[0.9996501,0.0001327806,0.00006136198,0.00004550383,0.00009825781,0.00001189777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004192341,0.0003531557,0.02291795,0.0003510704,0.0001406051,0.0001695402,0.0004392395,0.1454798,0.3240608,0.002947541,0.00145826,0.5012628],"study_design_scores_gemma":[0.00001273786,0.0001946162,0.02998485,0.0000230358,0.00003141779,0.000157424,0.0000780296,0.9350721,0.03102629,0.00135085,0.002027967,0.00004071919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2279613,0.0002599294,0.7681918,0.0000968021,0.000034583,0.00006762324,0.0004406105,0.0008916547,0.002055711],"genre_scores_gemma":[0.8014514,0.0001899994,0.1966257,0.00004498607,0.00002955905,0.00006203455,0.0005472341,0.00005664828,0.0009924563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002467413,"threshold_uncertainty_score":0.004906058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729081107605502,"score_gpt":0.3150709294129581,"score_spread":0.2977801183369031,"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."}}