{"id":"W2891355367","doi":"10.1007/s13349-018-0304-5","title":"System identification and model updating of highway bridges using ambient vibration tests","year":2018,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Structural engineering; Finite element method; Structural health monitoring; Vibration; Stiffness; Box girder; Engineering; System identification; Algorithm; Experimental data; Girder; Computer science; Mathematics; Physics; Acoustics; Statistics; Data modeling","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":[0.0002823989,0.0002943742,0.0002846107,0.0003180772,0.0001682315,0.0003226656,0.0003506301,0.0003946168,0.0007896252],"category_scores_gemma":[0.001262534,0.0001517787,0.0002335797,0.0001660404,0.0001366899,0.0004020745,0.0002403578,0.0003006545,0.0001387728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567705,"about_ca_system_score_gemma":0.0002086124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002960621,"about_ca_topic_score_gemma":0.003172024,"domain_scores_codex":[0.9998686,0.00003507486,0.000009029988,0.00003503307,0.00003812448,0.00001404971],"domain_scores_gemma":[0.9995727,0.0002196876,0.00004024335,0.00005089003,0.0001061375,0.00001027255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002253288,0.0001166875,0.005077085,0.00008019426,0.00006011745,0.00008777454,0.0001062081,0.8376921,0.02961815,0.0008997522,0.0005630773,0.1254735],"study_design_scores_gemma":[0.000002773928,0.00002231824,0.001391236,9.302169e-7,0.000004133889,0.000009380694,0.000004668799,0.9967532,0.001621131,0.0001161276,0.00007173367,0.000002359608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5099111,0.0001114535,0.4873945,0.00006838516,0.00004036252,0.00001904831,0.00010795,0.0009119483,0.001435308],"genre_scores_gemma":[0.9877565,0.00001622726,0.0118311,0.000004441723,0.000004129447,0.000008861147,0.00006442587,0.00001524127,0.000299061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002960621,"threshold_uncertainty_score":0.005886793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03361190170818985,"score_gpt":0.3287374089312366,"score_spread":0.2951255072230468,"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."}}