{"id":"W1595870520","doi":"","title":"Modeling of general laminate composite structures with viscoelastic layer","year":2007,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Viscoelasticity; Wavenumber; Materials science; Bending; Shearing (physics); Structural engineering; Displacement field; Composite number; Composite material; Engineering; Finite element method; Physics; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00004548501,0.0001235964,0.0001524139,0.0002285855,0.00005130208,0.00002261064,0.00009196984,0.00006317939,0.00003136482],"category_scores_gemma":[0.000004183704,0.000112624,0.00002931126,0.0002221374,0.00002181279,0.00004058558,0.000006035323,0.0001029404,0.000001170211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173112,"about_ca_system_score_gemma":0.00004421278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003725043,"about_ca_topic_score_gemma":0.01878603,"domain_scores_codex":[0.9993536,0.000004315104,0.0001801188,0.00009803009,0.0001093834,0.0002545198],"domain_scores_gemma":[0.9995485,0.00001355417,0.00001942471,0.0001419674,0.00009234445,0.0001841874],"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":[0.000004132445,0.000001073906,0.0002831989,0.00002338668,0.00004522672,0.00001651157,0.00009061506,0.9743289,0.02420827,0.0003132311,0.00005884135,0.0006266282],"study_design_scores_gemma":[0.0001134126,0.00001522024,0.005403813,0.00001358416,0.00008890747,0.000009260658,0.0000287015,0.9930097,0.00106102,0.00007598875,0.00003734089,0.0001430416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5244206,0.00008450016,0.4736653,0.000004310725,0.00008848468,0.00003876327,0.00001826867,0.0000257937,0.001653929],"genre_scores_gemma":[0.9845269,0.00001105769,0.01522985,0.00004033116,0.00009256358,4.189588e-7,0.00003641436,0.00002757759,0.00003492393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4601062,"threshold_uncertainty_score":0.9991186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004745985810911784,"score_gpt":0.1910116611304269,"score_spread":0.1862656753195151,"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."}}