{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000390579,0.0001372484,0.0001609705,0.0000781774,0.00002460026,0.00005520868,0.0000940105,0.0003195304,0.0002010785],"category_scores_gemma":[0.00001028871,0.0001611644,0.00006339976,0.00008414075,0.00001504219,0.00006920886,0.0001382188,0.000345524,0.00001258044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001141472,"about_ca_system_score_gemma":0.00002974365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003151969,"about_ca_topic_score_gemma":0.00002564068,"domain_scores_codex":[0.9994434,0.000006760979,0.0001524716,0.0001699469,0.00008492068,0.0001424891],"domain_scores_gemma":[0.9996665,0.000008047451,0.00003092322,0.0002347921,0.00003362747,0.00002610304],"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":[7.879073e-7,0.00001204246,0.001299876,0.0003942418,0.0001527697,0.00002367983,0.0005392237,0.8629951,0.1267612,0.0007431072,0.0009714119,0.006106628],"study_design_scores_gemma":[0.0003118894,0.000009663023,0.002562085,0.0005156508,0.00009214252,0.00001388249,0.002295219,0.8138981,0.1758054,0.001794338,0.001614081,0.001087529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8923125,0.0002553905,0.1025734,0.00008553737,0.0005956778,0.0000845018,0.000003773136,0.0008943075,0.003194984],"genre_scores_gemma":[0.984701,0.00008814156,0.01484046,0.00003926764,0.00007569306,0.000006834707,0.0000754956,0.00003308368,0.0001399997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09238858,"threshold_uncertainty_score":0.6572092,"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."}}