{"id":"W2073240101","doi":"10.4271/2013-01-2267","title":"Aerodynamics Simulation of the Hydra Technologies Unmanned Aerial Systems UAS S4 Wing Using the Fluent Code","year":2013,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Aerodynamics; Fluent; Wing; Aerospace engineering; Computer science; Lernaean Hydra; Code (set theory); Aeronautics; Computational fluid dynamics; Simulation; Engineering; Programming language; Geography","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":[0.0001859096,0.0005006409,0.0005676732,0.0004124944,0.000720126,0.0005432387,0.0006900333,0.0009097856,0.00454125],"category_scores_gemma":[0.0006361503,0.0002777056,0.0005906882,0.0003945273,0.0004231173,0.0003849824,0.0004681662,0.0005814789,0.0004015693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005832124,"about_ca_system_score_gemma":0.001111195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03003117,"about_ca_topic_score_gemma":0.01525029,"domain_scores_codex":[0.9998727,0.00003177053,0.000004197245,0.00001403009,0.00004353763,0.00003377559],"domain_scores_gemma":[0.9997068,0.0001350789,0.00002441548,0.00002387258,0.00006980428,0.00003996823],"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":[0.00006381622,0.00003664353,0.001498148,0.00002601508,0.00001557,0.0001059218,0.00004084538,0.9920977,0.001356003,0.001228066,0.0008997089,0.002631529],"study_design_scores_gemma":[0.0000196391,0.00002370602,0.0009207376,0.000003391636,0.000002842471,0.00001032999,0.000021998,0.9978956,0.0004014058,0.0001878561,0.0005064022,0.000006077317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9142057,0.0002401737,0.02758518,0.000496849,0.000147156,0.0001415892,0.002321063,0.001104882,0.05375743],"genre_scores_gemma":[0.9866415,0.00006252722,0.008661153,0.00005559674,0.00001418169,0.00006085905,0.0006985968,0.000104457,0.003701026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03003117,"threshold_uncertainty_score":0.05971277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037985892521226,"score_gpt":0.2280678385780985,"score_spread":0.2176879796528862,"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."}}