{"id":"W3167251259","doi":"10.1017/aer.2021.29","title":"Wing component allocation for a morphing variable span of tapered wing using finite element method and topology optimisation – application to the UAS-S4","year":2021,"lang":"en","type":"article","venue":"The Aeronautical Journal","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Wingspan; Wing; Structural engineering; Morphing; Finite element method; Topology optimization; Topology (electrical circuits); Engineering; Stiffness; Component (thermodynamics); Computer science","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":[0.0009065516,0.0001165913,0.0001779273,0.00005963932,0.0002472158,0.00004740129,0.0001469426,0.00006656003,0.00002879412],"category_scores_gemma":[0.0001904432,0.00009068624,0.00003946712,0.0001812315,0.00004074891,0.00009692265,0.00006338888,0.0002225068,9.022899e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001151415,"about_ca_system_score_gemma":0.0000342304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007805638,"about_ca_topic_score_gemma":0.000002763379,"domain_scores_codex":[0.9990034,0.0001045038,0.0003872892,0.0001311636,0.0001403741,0.0002332617],"domain_scores_gemma":[0.9990654,0.0004859746,0.00007442138,0.0001899506,0.0001169511,0.00006732962],"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":[0.00001102122,0.000009903495,0.00003045202,0.00002335934,0.00006301486,4.734434e-7,0.0005307174,0.9247201,0.06485228,0.007051282,0.00002212545,0.002685246],"study_design_scores_gemma":[0.0002995575,0.00002357858,0.0004325205,0.00003743426,0.00008402549,0.0001413883,0.000317706,0.9910203,0.005259846,0.001349448,0.0009399024,0.00009425551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0314547,0.0002177929,0.9652467,0.002477059,0.000255033,0.0002627549,0.000004118488,0.00003529863,0.00004650963],"genre_scores_gemma":[0.6423178,0.00002782129,0.3573142,0.0001364333,0.0001460496,0.00002257056,0.000007632418,0.00001998286,0.000007602806],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.610863,"threshold_uncertainty_score":0.3698078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054881393032808,"score_gpt":0.275588994262375,"score_spread":0.255040180332047,"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."}}