{"id":"W4206000732","doi":"10.32920/ryerson.14657811","title":"Stall mitigation using wing spoilers","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stall (fluid mechanics); Airfoil; Mach number; Angle of attack; Computational fluid dynamics; Grid; Lift coefficient; Reynolds number; Wing; Engineering; Turbulence; Structural engineering; Mechanics; Mathematics; Aerospace engineering; Aerodynamics; Physics; Geometry","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":[0.000174546,0.0003268789,0.0002809573,0.0003351018,0.000222268,0.0003295819,0.0003860566,0.0001793644,0.001821894],"category_scores_gemma":[0.0003657518,0.0001314713,0.0002099409,0.0001091666,0.0001385081,0.0002762743,0.0004309059,0.0001748617,0.0002539074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455297,"about_ca_system_score_gemma":0.0002100424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001528211,"about_ca_topic_score_gemma":0.002464743,"domain_scores_codex":[0.9999192,0.00001287238,0.000003596011,0.00001386064,0.00002413234,0.00002648026],"domain_scores_gemma":[0.9998684,0.00004540863,0.0000212276,0.00001847923,0.00003319382,0.0000133354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002646395,0.0003852952,0.03897423,0.0006157087,0.0000970204,0.0004570892,0.0002292475,0.2307404,0.4266044,0.001919214,0.001160083,0.296171],"study_design_scores_gemma":[0.0001194834,0.005056872,0.06433551,0.00007771167,0.0001764313,0.0003420658,0.0003431125,0.5336041,0.387404,0.0003915287,0.008082277,0.0000669336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640093,0.0002626403,0.03030322,0.00002763453,0.0000253238,0.00003303306,0.00007367893,0.0005371927,0.004728021],"genre_scores_gemma":[0.9936476,0.00009011706,0.004957506,0.00000675925,0.000002963768,0.000007067183,0.00006287305,0.00002229527,0.001202777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001821894,"threshold_uncertainty_score":0.006094873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408728883939134,"score_gpt":0.2238131765502814,"score_spread":0.2097258877108901,"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."}}