{"id":"W2091454825","doi":"10.1177/1475921713479641","title":"Improvement of a vibration-based damage detection approach for health monitoring of bolted flange joints in pipelines","year":2013,"lang":"en","type":"article","venue":"Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Flange; Bolted joint; Structural engineering; Vibration; Hammer; Engineering; Hilbert–Huang transform; Torque; Structural health monitoring; Computer science; Acoustics; Finite element method; Filter (signal processing)","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":[0.0004550911,0.0003814311,0.0007528276,0.0004788986,0.000168034,0.00002819357,0.0002768078,0.0001706037,0.00000395397],"category_scores_gemma":[0.00006855818,0.0003796883,0.0001132714,0.0005345659,0.0000489386,0.0003456182,0.00004156067,0.0003729907,5.056433e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009418135,"about_ca_system_score_gemma":0.0001702329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003842406,"about_ca_topic_score_gemma":0.0000313275,"domain_scores_codex":[0.9967949,0.00007394112,0.001510914,0.000390076,0.0004006192,0.0008295425],"domain_scores_gemma":[0.9984361,0.000145929,0.0005048153,0.0004320341,0.0002335693,0.000247562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002118171,0.0000632822,0.1531691,0.0212002,0.00007245313,7.990314e-7,0.002827165,0.03616409,0.1338713,0.00003408231,0.00008733226,0.6522985],"study_design_scores_gemma":[0.001075748,0.0006112257,0.5361641,0.0007171506,0.000006520231,0.000001810286,0.0005811884,0.09883477,0.3613532,0.0002855283,0.00001080123,0.0003580179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900702,0.0006034008,0.004182507,0.0001094339,0.002147069,0.002443143,0.00003809652,0.0003958468,0.00001030077],"genre_scores_gemma":[0.9291561,0.00008734797,0.06941839,0.00001596208,0.0007254077,0.0004909753,0.00002405853,0.00007806628,0.000003656339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6519404,"threshold_uncertainty_score":0.9998655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729791410935941,"score_gpt":0.318044092256892,"score_spread":0.2907461781475326,"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."}}