{"id":"W4404718115","doi":"10.1108/hff-06-2024-0454","title":"Quantification analysis of high-speed train aerodynamics with geometric uncertainty of streamlined shape","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":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Aerodynamics; High speed train; Computer science; Aerospace engineering; Engineering; Transport 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001712742,0.0002266748,0.0007846765,0.002156723,0.00002709019,0.00006931352,0.0005889442,0.0001301335,0.00009335879],"category_scores_gemma":[0.0005346863,0.0001816478,0.0005454893,0.002592142,0.0001153955,0.0001840077,0.0000394312,0.0003283796,0.000001261771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003239121,"about_ca_system_score_gemma":0.0001236407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008092286,"about_ca_topic_score_gemma":0.00003069846,"domain_scores_codex":[0.9974062,0.0001496134,0.001162185,0.0002451843,0.0007806078,0.000256208],"domain_scores_gemma":[0.9966843,0.001476834,0.0001525557,0.0002438174,0.001298497,0.0001439608],"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":[0.0002709482,0.0001204435,0.0001615575,0.00009606443,0.003981844,0.000006159904,0.0001093989,0.7957716,0.07040609,0.001948579,0.00004120169,0.1270861],"study_design_scores_gemma":[0.0004813239,0.0002713004,0.003103715,0.00009098768,0.0005421225,0.00001867894,0.00003517823,0.9935445,0.0007663523,0.000571395,0.0004085374,0.0001659223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2140143,0.0006486633,0.7839152,0.0002407269,0.0006225239,0.0001402066,0.0003645166,0.00002808608,0.00002574946],"genre_scores_gemma":[0.6678671,0.000315542,0.3314714,0.000007506846,0.00009587749,0.000005467275,0.0001716213,0.00003832237,0.00002716697],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4538528,"threshold_uncertainty_score":0.7407383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02997504614503919,"score_gpt":0.3679320461925945,"score_spread":0.3379570000475552,"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."}}