{"id":"W2042267000","doi":"10.2514/2.1472","title":"Higher-Order Spatial Discretization for Turbulent Aerodynamic Computations","year":2001,"lang":"en","type":"article","venue":"AIAA Journal","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Discretization; Curvilinear coordinates; Aerodynamics; Inviscid flow; Turbulence; Mathematics; Transonic; Computation; Applied mathematics; Order of accuracy; Numerical analysis; Mathematical analysis; Mechanics; Numerical stability; Geometry; Physics; Algorithm","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":[0.000472328,0.0004194975,0.0005633413,0.0003741537,0.0005964123,0.001109868,0.0009661396,0.0007184501,0.006310644],"category_scores_gemma":[0.001704857,0.000241581,0.0007756922,0.0006523003,0.0005101091,0.0008949967,0.0008890557,0.001333467,0.001817895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006662485,"about_ca_system_score_gemma":0.001280333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003750805,"about_ca_topic_score_gemma":0.004993959,"domain_scores_codex":[0.9995847,0.00006921345,0.00003373194,0.00002391549,0.0002428955,0.0000455513],"domain_scores_gemma":[0.9991589,0.0002516812,0.0000587495,0.0002489928,0.0002376865,0.00004399404],"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":[0.0001443621,0.000175988,0.002212538,0.0003767021,0.00003989651,0.0004483331,0.0003712193,0.544988,0.04601491,0.2575095,0.008796544,0.138922],"study_design_scores_gemma":[0.00001961252,0.0000265017,0.0002307653,0.00001954981,0.000004827036,0.00008600935,0.00002495457,0.9674951,0.004204793,0.01471781,0.01315949,0.0000106111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01302168,0.0002844594,0.9752907,0.0001355671,0.0001361006,0.00005991207,0.0001130304,0.0008019106,0.01015672],"genre_scores_gemma":[0.2049485,0.0005919371,0.7801536,0.0001527781,0.00008017295,0.0002229239,0.0004103061,0.0002783495,0.01316142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006310644,"threshold_uncertainty_score":0.02111119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00775414745946162,"score_gpt":0.2255469804142105,"score_spread":0.2177928329547488,"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."}}