{"id":"W4403244035","doi":"10.1016/j.jsv.2024.118760","title":"Spatial and frequency identification of the dynamic properties of thin plates with the Frequency-Adapted Virtual Fields Method","year":2024,"lang":"en","type":"article","venue":"Journal of Sound and Vibration","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Centre Lyonnais d'Acoustique, Université de Lyon; Fonds de recherche du Québec – Nature et technologies; Université de Lyon; Agence Nationale de la Recherche","keywords":"Identification (biology); Frequency response; Acoustics; Spatial frequency; Computer science; Mathematics; Engineering; Physics; Optics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002632825,0.0003911214,0.0002690238,0.0007338081,0.0001339281,0.0002718235,0.000403395,0.0003970435,0.0009402717],"category_scores_gemma":[0.0007044456,0.0001606881,0.000336751,0.0003663301,0.0003894653,0.0007116863,0.0003852458,0.000290695,0.0001681375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009241461,"about_ca_system_score_gemma":0.0001898788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004871787,"about_ca_topic_score_gemma":0.0004751087,"domain_scores_codex":[0.9998631,0.00004171739,0.000005024911,0.00002715172,0.00005145803,0.00001149746],"domain_scores_gemma":[0.9996994,0.000154136,0.00004305343,0.00003538751,0.00005614878,0.00001204632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003976781,0.0001437218,0.00240073,0.0003175333,0.0001124199,0.0001729924,0.0001849407,0.2566541,0.3625056,0.01459571,0.0007352526,0.3617794],"study_design_scores_gemma":[0.0000106111,0.00008221975,0.001998558,0.00001139641,0.00001914329,0.0001613395,0.00003275138,0.9670889,0.02735517,0.002462614,0.0007509199,0.00002637271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05873109,0.0001379091,0.9401456,0.00002764945,0.00002292598,0.00001408426,0.00003202884,0.0001195457,0.0007691028],"genre_scores_gemma":[0.7902958,0.0003169,0.2070079,0.00002781062,0.0000288901,0.00005355772,0.0000853457,0.00004269884,0.002140991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009402717,"threshold_uncertainty_score":0.003145516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493340836031708,"score_gpt":0.2648677917698966,"score_spread":0.2499343834095795,"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."}}