{"id":"W2916214985","doi":"10.29252/jafm.12.02.28788","title":"Numerical Investigation of the Effects of Sand Collision on the Aerodynamic Behaviour of a High-Speed Train Subjected to Yaw Angles","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Fluid Mechanics","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Aerodynamics; Drag; Mechanics; Head (geology); Aerodynamic force; Pitching moment; Coefficient of restitution; Euler angles; Lift (data mining); Drag coefficient; Computational fluid dynamics; Turbulence; Flow (mathematics); Wind tunnel; Lift-to-drag ratio; Aerospace engineering; Structural engineering; Geology; Physics; Computer science; Angle of attack; Engineering","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":[0.0002380471,0.000395177,0.0004004692,0.000368765,0.0005544736,0.0004809086,0.0002556988,0.0005446157,0.001252007],"category_scores_gemma":[0.0005328859,0.0001478482,0.0005266791,0.0002567569,0.0004990391,0.0002687653,0.0003716937,0.0002914206,0.0001303219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003243511,"about_ca_system_score_gemma":0.0004371693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008634645,"about_ca_topic_score_gemma":0.005288917,"domain_scores_codex":[0.9998658,0.00001992315,0.000007337842,0.00001574843,0.00004927402,0.00004189156],"domain_scores_gemma":[0.9997322,0.0001094888,0.00004304073,0.00002615499,0.00006080173,0.00002833822],"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":[0.0004560022,0.0001541007,0.02674444,0.0002030301,0.00007866836,0.001466949,0.0003357595,0.8350591,0.1234683,0.0009277299,0.0004035998,0.01070229],"study_design_scores_gemma":[0.0000187662,0.0002774937,0.01322782,0.000008839496,0.00002881877,0.00009561864,0.000277997,0.9684834,0.01707849,0.00009561043,0.0003840797,0.00002304343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934122,0.00006803603,0.004658894,0.0000365559,0.00002172436,0.00001244167,0.00005537661,0.00004421063,0.00169067],"genre_scores_gemma":[0.9985961,0.00004083724,0.0006613674,0.00000463054,0.000002215484,0.00000508018,0.00003249373,0.000004336193,0.0006528284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008634645,"threshold_uncertainty_score":0.01716882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004955354646856143,"score_gpt":0.1958316621487597,"score_spread":0.1908763075019036,"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."}}