{"id":"W2795551074","doi":"10.4271/06-11-01-0003","title":"Computational-Based Aerodynamic Design for a Formula SAE Vehicle","year":2018,"lang":"en","type":"article","venue":"SAE International Journal of Passenger Cars - Mechanical Systems","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé","keywords":"Aerodynamics; Aerospace engineering; Computational fluid dynamics; Computer science; Automotive engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002562015,0.0003218291,0.0003155804,0.0002435684,0.0004845058,0.0006626024,0.0004842539,0.0003673352,0.002865934],"category_scores_gemma":[0.0003406568,0.0001756003,0.0003715322,0.0001118113,0.0002832235,0.0001889626,0.0003961877,0.0003598848,0.0004855081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004091215,"about_ca_system_score_gemma":0.001153218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003712357,"about_ca_topic_score_gemma":0.003582784,"domain_scores_codex":[0.9998554,0.00003054782,0.000004899062,0.00001507702,0.00008065499,0.0000133875],"domain_scores_gemma":[0.9999143,0.00002200025,0.00001005229,0.00001005529,0.00003325917,0.00001042062],"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":[0.00007238462,0.00003797092,0.0006986069,0.00004745922,0.0000122362,0.00008629372,0.00003505051,0.93044,0.02042657,0.007355295,0.001277489,0.03951062],"study_design_scores_gemma":[0.000007613563,0.00005162264,0.0002130676,0.000003643049,0.000003106425,0.00001579581,0.000008255701,0.9955225,0.001455227,0.0003784827,0.002336851,0.000003859805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0760439,0.0001251995,0.9005606,0.0002300019,0.00006502287,0.000159428,0.0001500803,0.0009530237,0.02171275],"genre_scores_gemma":[0.7948149,0.0001853098,0.192818,0.00009107956,0.00003311733,0.0002519437,0.0002889956,0.00009454694,0.01142215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003712357,"threshold_uncertainty_score":0.009587526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288436986682776,"score_gpt":0.2882874897232948,"score_spread":0.265403119856467,"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."}}