{"id":"W2163435746","doi":"10.1177/1077546312466882","title":"Importance of flexural mode shapes in dynamic analysis of high-speed trains traveling on bridges","year":2013,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Train; Structural engineering; Parametric statistics; Track (disk drive); Beam (structure); Mode (computer interface); Engineering; Flexibility (engineering); Flexural strength; Sensitivity (control systems); Acoustics; Computer science; Mechanical engineering; Physics; Electronic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001036952,0.00007828847,0.0003389459,0.0002729393,0.00000746977,0.0000139818,0.00004379117,0.00003920928,0.00001171385],"category_scores_gemma":[0.00002119136,0.00006805045,0.00008532163,0.0001791634,0.00001182674,0.0001509761,0.000001510822,0.00009922122,1.870262e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002426948,"about_ca_system_score_gemma":0.000009774013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002302936,"about_ca_topic_score_gemma":0.00007564144,"domain_scores_codex":[0.9992844,0.00001200189,0.0004590205,0.00004811685,0.0001169612,0.00007952894],"domain_scores_gemma":[0.9996654,0.00005285813,0.0001354677,0.00004911149,0.00005948609,0.00003767046],"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":[0.00002028856,0.00001650728,0.001226636,0.00001869326,0.0001827703,0.000001266744,0.0001848033,0.9286544,0.06772824,0.0001439658,0.000002561096,0.001819887],"study_design_scores_gemma":[0.0005874718,0.00006000669,0.1838921,0.00002651338,0.0000815268,0.000002055251,0.00006761975,0.8145638,0.0006091512,0.00006051704,5.250523e-7,0.00004872114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8572947,0.0001467045,0.1423316,0.00009190723,0.00004165537,0.00004614293,0.00001456807,0.000007975789,0.00002477502],"genre_scores_gemma":[0.9993266,0.000085795,0.0005297548,0.00002267218,0.0000176055,9.251135e-7,0.000003243217,0.000007940595,0.000005498263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1826654,"threshold_uncertainty_score":0.2775017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004548661543364841,"score_gpt":0.2077334435195755,"score_spread":0.2031847819762107,"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."}}