{"id":"W6983468965","doi":"","title":"Model updating and damage detection of an aluminum truss with double eigenvalues","year":2007,"lang":"en","type":"article","venue":"DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa))","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eigenvalues and eigenvectors; Truss; Finite element method; Eigenvalue perturbation; Vibration; Eigenvalues and eigenvectors of the second derivative; Modal matrix","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003741577,0.0004005139,0.0003805143,0.0004194981,0.0002441746,0.0004621939,0.0006059749,0.0005998831,0.0007234553],"category_scores_gemma":[0.0018307,0.0003271564,0.0002649571,0.0003050405,0.0003963207,0.0004952599,0.0005178731,0.0004486013,0.0001807664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004053229,"about_ca_system_score_gemma":0.0005617156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008573407,"about_ca_topic_score_gemma":0.008801947,"domain_scores_codex":[0.9998319,0.00004486346,0.00000634099,0.0000404209,0.00006258231,0.00001393149],"domain_scores_gemma":[0.999535,0.0002340056,0.00008711631,0.00004840714,0.00007808713,0.000017448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002481947,0.000023344,0.002228018,0.00002519561,0.00001358906,0.00006105943,0.00005139816,0.946474,0.005455824,0.002956556,0.0002253076,0.0424609],"study_design_scores_gemma":[0.000001111757,0.000005516179,0.0002147381,0.000001280889,0.000001395949,0.00001108229,0.000002982085,0.9981509,0.001058623,0.0004257184,0.0001248563,0.000001827495],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1232143,0.0001331895,0.8740643,0.0001254195,0.00001585435,0.00002555659,0.00005148796,0.0004174706,0.001952358],"genre_scores_gemma":[0.8014392,0.0001268528,0.1951432,0.00003414656,0.00001108757,0.00005713044,0.0001283806,0.00006689891,0.002993137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008573407,"threshold_uncertainty_score":0.01704705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02842820925684035,"score_gpt":0.317450251358821,"score_spread":0.2890220421019806,"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."}}