{"id":"W4317632748","doi":"10.2514/6.2023-1585","title":"Numerical Investigation of a Dynamically Morphing UAS-S45 Wing Airfoil at moderate Reynolds number","year":2023,"lang":"en","type":"article","venue":"AIAA SCITECH 2023 Forum","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Airfoil; Trailing edge; Lift coefficient; Stall (fluid mechanics); Morphing; Pitching moment; Deflection (physics); Leading edge; Mechanics; Lift-to-drag ratio; Angle of attack; Wing; Reynolds number; Aerodynamics; Drag; Aerospace engineering; Physics; Structural engineering; Computer science; Turbulence; Engineering; Classical mechanics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002730734,0.0002462442,0.0003037078,0.0002004303,0.0001419312,0.00005303627,0.0002501422,0.0001819025,0.00008566588],"category_scores_gemma":[0.00004666658,0.0002596988,0.0001347152,0.001066119,0.00006242407,0.0002383221,0.0001745958,0.0002587507,0.0005119934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001675065,"about_ca_system_score_gemma":0.00002636022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000936109,"about_ca_topic_score_gemma":0.00005236855,"domain_scores_codex":[0.9982303,0.00002544923,0.0004523557,0.00032415,0.0003804415,0.000587295],"domain_scores_gemma":[0.9992862,0.00007872583,0.00005956697,0.000368102,0.00006169065,0.0001457194],"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":[0.00003367275,0.00001870588,0.01985103,0.0002472051,0.0001309742,0.00005328494,0.0003632851,0.8891141,0.07045663,0.004042958,0.01361742,0.002070746],"study_design_scores_gemma":[0.0002766815,0.00002491114,0.004109574,0.0001036345,0.00001490671,0.00001097093,0.00002281103,0.9888364,0.002375292,0.003408493,0.000536766,0.0002795487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896871,0.00005400882,0.005343293,0.0008195094,0.0005880893,0.0001978,0.00004423299,0.0008513543,0.002414655],"genre_scores_gemma":[0.9968082,0.00006316805,0.001464556,0.0001047458,0.0000577073,0.00003848797,0.0001359963,0.00008789023,0.001239265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09972232,"threshold_uncertainty_score":0.9999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008774672374075216,"score_gpt":0.2097303154394595,"score_spread":0.2009556430653843,"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."}}