{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002747806,0.0005080684,0.0004037644,0.0003719309,0.0002049492,0.0005770829,0.0004897138,0.0005618586,0.002727282],"category_scores_gemma":[0.0007015072,0.0002984275,0.0006016562,0.0001843077,0.0003786543,0.0005394997,0.0004284947,0.0005043533,0.0004315941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002997298,"about_ca_system_score_gemma":0.000441534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001187753,"about_ca_topic_score_gemma":0.001104971,"domain_scores_codex":[0.9998822,0.00002983256,0.000004383458,0.00002282069,0.0000505943,0.00001010648],"domain_scores_gemma":[0.9998128,0.00008487226,0.00003004393,0.0000306535,0.00003231156,0.000009378063],"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":[0.000007554088,0.000007672938,0.0001644108,0.00002081276,0.000005870655,0.00002188606,0.00001617212,0.9852321,0.004073231,0.00375987,0.000127015,0.006563342],"study_design_scores_gemma":[0.000001119137,0.00001212825,0.00004562779,0.000002482919,0.000001998686,0.000009649445,0.000004307818,0.9981199,0.0004600954,0.000796497,0.0005443671,0.000001822383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.036159,0.00009496089,0.9566555,0.0001029143,0.00002649543,0.00004302626,0.00006910536,0.000256563,0.006592372],"genre_scores_gemma":[0.7741907,0.0002875068,0.2198468,0.00007424252,0.00002453873,0.0002523202,0.0002444664,0.0001951664,0.004884407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002727282,"threshold_uncertainty_score":0.009123623,"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."}}