{"id":"W4322742748","doi":"10.3390/applmech4010017","title":"Free-Form Deformation Parameterization on the Aerodynamic Optimization of Morphing Trailing Edge","year":2023,"lang":"en","type":"article","venue":"Applied Mechanics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Morphing; Trailing edge; Python (programming language); Aerodynamics; Computer science; Mathematical optimization; Shape optimization; Optimization problem; Mathematics; Applied mathematics; Aerospace engineering; Mechanics; Structural engineering; Physics; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002047468,0.0001146794,0.0001402765,0.0001288281,0.00006390126,0.0000137131,0.0001788982,0.0000692377,0.00001191209],"category_scores_gemma":[0.00004883752,0.00009205072,0.00004551082,0.0007405275,0.00000795835,0.0001036659,0.00003594068,0.0001154081,0.00001290414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004712783,"about_ca_system_score_gemma":0.000003807275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001428616,"about_ca_topic_score_gemma":0.000001763069,"domain_scores_codex":[0.9992911,0.000009045939,0.0002624562,0.0001087869,0.0001778092,0.0001507853],"domain_scores_gemma":[0.9995074,0.00008262706,0.00007897611,0.0002829447,0.00002650347,0.00002158315],"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":[0.000003639389,0.000005340653,2.482177e-7,0.00002389917,0.000014127,1.225055e-7,0.0001136331,0.9061826,0.04241677,0.04425928,0.00003532349,0.006945013],"study_design_scores_gemma":[0.00006705041,0.00001499034,0.000003924449,0.00001566835,0.00001579075,2.689002e-7,0.00009677716,0.9315947,0.04903553,0.0190231,0.00003983421,0.00009234243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03844713,0.000004945467,0.9597639,0.00004238142,0.00005392968,0.0002418264,0.000009133045,0.0007510301,0.0006856839],"genre_scores_gemma":[0.9795408,0.0001036927,0.02007871,0.00004212116,0.00001827327,0.00007632132,0.0001007515,0.00003411605,0.000005232983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9410936,"threshold_uncertainty_score":0.3753719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168644120363193,"score_gpt":0.2100378753691129,"score_spread":0.198351434165481,"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."}}