{"id":"W4401519805","doi":"10.1108/hff-02-2024-0136","title":"Effect of wing height layout on the aerodynamic performance ofhigh-speed train","year":2024,"lang":"en","type":"article","venue":"International Journal of Numerical Methods for Heat &amp Fluid Flow","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Aerodynamics; Detached eddy simulation; Wing; Vortex; Lift (data mining); Turbulence; Lift coefficient; Computational fluid dynamics; Aerospace engineering; Wing twist; Drag; Lift-to-drag ratio; Wind tunnel; Vortex shedding; Engineering; Mechanics; Reynolds number; Angle of attack; Computer science; Physics; Reynolds-averaged Navier–Stokes equations","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":[0.0001943362,0.0003425147,0.0002119219,0.0002179472,0.0003377701,0.0004437103,0.0002998501,0.0002786509,0.002001077],"category_scores_gemma":[0.0005233542,0.0001485113,0.0002922355,0.0001552038,0.0002853,0.0003189937,0.0004069861,0.0002052435,0.000222254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002057687,"about_ca_system_score_gemma":0.0002264374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349191,"about_ca_topic_score_gemma":0.00152172,"domain_scores_codex":[0.9998841,0.00001888648,0.00000757736,0.00002149099,0.00003726692,0.00003060343],"domain_scores_gemma":[0.9997368,0.00007397695,0.0000557127,0.00004807872,0.00004958003,0.00003584709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001279106,0.0004886872,0.0498598,0.0004207163,0.0001089926,0.0004893339,0.0002518647,0.3729584,0.4877092,0.0005861472,0.0004319267,0.0854158],"study_design_scores_gemma":[0.0001145688,0.005938276,0.145771,0.00005707651,0.0002120631,0.0004671248,0.0007031478,0.6085773,0.2350753,0.0003112507,0.002664449,0.000108305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867867,0.00007992856,0.0119536,0.00001613054,0.00001381687,0.00001387872,0.00003743698,0.00009141091,0.00100705],"genre_scores_gemma":[0.9972555,0.00003054331,0.002416736,0.000003774155,0.000002001741,0.000004120909,0.00003016021,0.00001035764,0.0002468009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002001077,"threshold_uncertainty_score":0.006694257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060869037537187,"score_gpt":0.3646980470782191,"score_spread":0.3440893567028472,"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."}}