{"id":"W1966908301","doi":"10.1115/omae2010-20069","title":"On the Use of Mode Shapes in the Identification of Structural Damage","year":2010,"lang":"en","type":"article","venue":"","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Memorial University of Newfoundland","funders":"","keywords":"Mode (computer interface); Modal; Finite element method; Normal mode; Identification (biology); Modal analysis; Computer science; Excitation; Algorithm; Biological system; Structural engineering; Acoustics; Vibration; Materials science; Physics; Engineering","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":[0.001143138,0.0004368479,0.0002199282,0.001709409,0.0001961372,0.0004867843,0.0004986224,0.0004917891,0.0005969089],"category_scores_gemma":[0.003944256,0.0002156087,0.000223006,0.0008009269,0.0008215347,0.000951673,0.0004383033,0.0003930948,0.0003516643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002125714,"about_ca_system_score_gemma":0.0001862682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005010081,"about_ca_topic_score_gemma":0.0007819858,"domain_scores_codex":[0.9994979,0.0001400262,0.00001807413,0.00008605467,0.0002388541,0.00001900199],"domain_scores_gemma":[0.9976935,0.001308123,0.0002625573,0.0003649059,0.0003344741,0.00003640989],"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":[0.0003758997,0.00008661902,0.005117978,0.0002362976,0.00004099138,0.0002383531,0.0003605121,0.02938175,0.3181674,0.01617518,0.000521775,0.6292973],"study_design_scores_gemma":[0.0000364718,0.0007030637,0.02973924,0.0001660283,0.00005966695,0.002782425,0.0002258423,0.5534124,0.3747126,0.02231919,0.01560363,0.0002395264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08213042,0.0009421001,0.9116805,0.0001107303,0.00003618972,0.00009472618,0.00009221806,0.0005611551,0.004351987],"genre_scores_gemma":[0.411463,0.0009078594,0.5856517,0.00005881456,0.00002870179,0.0000628503,0.0000852127,0.00006167947,0.001680179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001709409,"threshold_uncertainty_score":0.00604558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237708088243963,"score_gpt":0.3115728511287723,"score_spread":0.2691957702463326,"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."}}