{"id":"W7101580955","doi":"10.32604/icces.2025.011292","title":"Research on Aerodynamic Drag Reduction of Urban Trains Based on Active Control of Wake Flows Using Air Blowing and Suction","year":2025,"lang":"en","type":"article","venue":"International Conference on Computational & Experimental Engineering and Sciences","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Drag; Wake; Train; Aerodynamics; Suction; Aerodynamic drag; Reduction (mathematics); Descent (aeronautics)","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":[0.0003314366,0.0001206125,0.0001456276,0.0006190286,0.0001134328,0.00004464623,0.0001458096,0.00004818369,0.000008300587],"category_scores_gemma":[0.00002747484,0.0001207908,0.00003337799,0.0002785388,0.0002232314,0.0001116718,0.00002403952,0.000187285,3.78719e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000152843,"about_ca_system_score_gemma":0.00007355541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003394027,"about_ca_topic_score_gemma":0.000002049373,"domain_scores_codex":[0.998816,0.00003444071,0.0002117158,0.0002406098,0.0005460457,0.0001512351],"domain_scores_gemma":[0.9995061,0.0002018345,0.00002982332,0.00006141169,0.0001585771,0.00004228202],"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":[0.00004981881,0.00005067226,0.00005684216,0.00001610783,0.00002374687,6.379053e-7,0.000119029,0.8299153,0.104367,0.06489316,0.000001956874,0.0005057302],"study_design_scores_gemma":[0.0004144035,0.0002286648,0.004083239,0.0002079761,0.0000025873,0.000002248635,0.000343098,0.9893627,0.00495078,0.0003134075,0.000002930912,0.0000879251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802209,0.00004605587,0.01779777,0.0001356781,0.0003077033,0.0001348054,0.00003764036,0.00002555806,0.001293951],"genre_scores_gemma":[0.9987592,0.000009375808,0.001151119,0.00000954029,0.00002527514,0.00001162066,0.00001251353,0.000007849107,0.0000135367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1594474,"threshold_uncertainty_score":0.4925707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03971322894243755,"score_gpt":0.3519550558915576,"score_spread":0.31224182694912,"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."}}