{"id":"W3114316599","doi":"10.1115/detc2000/cie-14661","title":"Non-Linear and Non-Stationary Random Responses of Discretized Plate Structures by Stochastic Direct Integration With Correction Factor","year":2000,"lang":"en","type":"article","venue":"","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Discretization; White noise; Stochastic process; Mathematics; Applied mathematics; Mathematical optimization; Stability (learning theory); Noise (video); Algorithm; Computer science; Mathematical analysis; Statistics","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":[0.0004612578,0.0001503367,0.0002974141,0.0001402019,0.0000934893,0.00005725361,0.0001332791,0.00006340363,0.00059269],"category_scores_gemma":[0.0007778243,0.00008307595,0.00003680998,0.0003017651,0.0001321827,0.0002130458,0.00001226397,0.0000918806,0.00001022712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001686037,"about_ca_system_score_gemma":0.00005380253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000725814,"about_ca_topic_score_gemma":0.00001530909,"domain_scores_codex":[0.9986048,0.00008083805,0.0003860246,0.0003020504,0.0005011956,0.0001250522],"domain_scores_gemma":[0.9977014,0.001778977,0.0001065328,0.0001987288,0.0001444985,0.00006985619],"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":[0.0340878,0.000245925,0.002359906,0.00004613562,0.0002221402,0.00001364197,0.006273493,0.7233812,0.03476965,0.0004451334,0.02765705,0.1704979],"study_design_scores_gemma":[0.00437361,0.0006923849,0.02879031,0.00009600235,0.00004968036,0.00002832512,0.0006374147,0.9550467,0.007319377,0.002255687,0.0003028853,0.000407621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3524554,0.00003988624,0.6463533,0.00004165021,0.0001299953,0.0002417146,0.00004251937,0.00003163605,0.0006638951],"genre_scores_gemma":[0.9873298,0.00001251122,0.005689656,0.00001639986,0.00002239753,0.00001216736,0.00001686234,0.00001046607,0.006889679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6406637,"threshold_uncertainty_score":0.648954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428467586971973,"score_gpt":0.2904826528863364,"score_spread":0.2661979770166167,"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."}}