{"id":"W2465185092","doi":"10.1109/icuas.2016.7502530","title":"Aerodynamic analysis of upper surface wing morphing efficiency for the S4 Éhecatl unmanned aerial system","year":2016,"lang":"en","type":"article","venue":"","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"University of Salford Manchester","keywords":"Fuselage; Morphing; Airfoil; Wing; Aerodynamics; Angle of attack; Aerospace engineering; Lift-to-drag ratio; Drag; Computer science; Solver; Computational fluid dynamics; Lift coefficient; Engineering; Mechanics; Physics; Artificial intelligence","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":[0.00007614443,0.0001883388,0.0001412671,0.0002014627,0.0001528741,0.0001445511,0.0001170825,0.00009642453,0.0007131226],"category_scores_gemma":[0.00023915,0.00005493232,0.0001891923,0.0001137575,0.0001896277,0.0001529927,0.0001586229,0.00009732103,0.00007287199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002149744,"about_ca_system_score_gemma":0.0001190316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003140971,"about_ca_topic_score_gemma":0.001813906,"domain_scores_codex":[0.9999578,0.000006297413,0.000001473307,0.000005257361,0.00001772983,0.00001140078],"domain_scores_gemma":[0.9999349,0.00002750694,0.00001188522,0.000009273579,0.00001191442,0.0000044782],"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":[0.000413155,0.00006314023,0.01485984,0.00006978577,0.00003644208,0.0001967438,0.00008107081,0.7463439,0.1965846,0.001099441,0.0003474958,0.03990437],"study_design_scores_gemma":[0.00001061366,0.0003622836,0.02264458,0.000002788275,0.00001254455,0.00006382117,0.0000538219,0.946337,0.02987569,0.0001693166,0.0004563856,0.0000111256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99367,0.00003092528,0.004805321,0.00001394721,0.000001761349,0.000004332822,0.00002725003,0.00003633298,0.001410076],"genre_scores_gemma":[0.9987575,0.00001023234,0.001001888,0.000001636893,4.877451e-7,0.000001912713,0.00002519269,0.000003986283,0.0001973257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003140971,"threshold_uncertainty_score":0.006245375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005931855500963009,"score_gpt":0.2041747878133023,"score_spread":0.1982429323123393,"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."}}