{"id":"W4280569031","doi":"10.3390/machines10050374","title":"Dynamic Scaling of a Wing Structure Model Using Topology Optimization","year":2022,"lang":"en","type":"article","venue":"Machines","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Scaling; Metric (unit); Topology (electrical circuits); Matching (statistics); Diagonal; Modal; Computer science; Topology optimization; Mode (computer interface); Scale factor (cosmology); Mathematical optimization; Mathematics; Physics; Engineering; Finite element method; Geometry; Structural engineering; 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":[0.00005986051,0.0001208535,0.0001657137,0.0001911852,0.0001205917,0.000006505859,0.0001389443,0.00005124926,0.0002411055],"category_scores_gemma":[0.00001610268,0.0001429797,0.00003540299,0.0002381255,0.00003050531,0.00007975808,0.0000804767,0.0001814294,1.648186e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009235267,"about_ca_system_score_gemma":0.00001264005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001175616,"about_ca_topic_score_gemma":0.000002987511,"domain_scores_codex":[0.9993735,0.00002241135,0.0002198141,0.0001218927,0.00009950445,0.0001628642],"domain_scores_gemma":[0.9997482,0.00002047041,0.0000403425,0.0001473936,0.00002009948,0.00002347555],"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":[0.000003044274,0.000004102122,0.0003060428,0.00003276856,0.00002039301,0.000001135606,0.0002887693,0.9905364,0.008368879,0.0002213183,0.000006681493,0.0002104786],"study_design_scores_gemma":[0.0001518063,0.000006373478,0.0000427634,0.000004377429,0.00001572514,0.00002885252,0.00005686824,0.9989961,0.0002230285,0.0003417665,0.000008558638,0.0001238236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3631577,0.0002039157,0.6358213,0.0000170487,0.0004009004,0.00005898094,0.00003481686,0.0001811179,0.0001242102],"genre_scores_gemma":[0.832507,0.000005658821,0.1673649,0.00001533881,0.00001542468,0.00000582808,0.00002812105,0.00003990809,0.00001786772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4693493,"threshold_uncertainty_score":0.5830543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005877917412557602,"score_gpt":0.2235981947871732,"score_spread":0.2177202773746156,"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."}}