{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001425744,0.0001968792,0.0003383852,0.0002945953,0.0007244596,0.0001629098,0.0001692782,0.0001837615,0.000005075254],"category_scores_gemma":[0.0002301811,0.0001616505,0.00001044916,0.000821216,0.0008092856,0.0008599027,0.00007720815,0.00007411719,3.393565e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004543506,"about_ca_system_score_gemma":0.0001263829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000067621,"about_ca_topic_score_gemma":0.0003498702,"domain_scores_codex":[0.9985185,0.00001610286,0.0004408739,0.0003808405,0.0002781923,0.0003655057],"domain_scores_gemma":[0.9985422,0.00004597452,0.0003238602,0.0002761727,0.000726195,0.00008555358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003312698,0.00007018864,0.004625925,0.0001867988,0.00001419074,0.000001956756,0.00102928,0.00002629256,0.811522,0.1801599,0.000007571738,0.002024566],"study_design_scores_gemma":[0.0007524914,0.000358578,0.001215112,0.00003594639,0.00002752912,0.0000140913,0.0019574,0.002125274,0.9214309,0.07183074,0.00003199839,0.0002199274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970917,0.0000237203,0.001825092,0.0001908036,0.0001086399,0.0004734731,0.00006652812,0.0001654664,0.00005458729],"genre_scores_gemma":[0.9812139,0.000004913906,0.01863105,0.00002117306,0.00004259001,0.00003004607,0.0000190973,0.00002134529,0.00001583966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1099089,"threshold_uncertainty_score":0.6591916,"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."}}