{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005266,0.0002136423,0.0003634751,0.0003010932,0.00008147171,0.0001775696,0.000676131,0.0001617594,0.00002240429],"category_scores_gemma":[0.0001439625,0.0001959621,0.0002687756,0.0001719604,0.00006269365,0.0001974675,0.00004699618,0.00029368,0.00002103592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004395749,"about_ca_system_score_gemma":0.0001580988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001859744,"about_ca_topic_score_gemma":0.00009868814,"domain_scores_codex":[0.9975458,0.0001033337,0.0008346694,0.0001968794,0.0009626576,0.0003567084],"domain_scores_gemma":[0.9976269,0.0005083745,0.0002096529,0.0001679938,0.001282482,0.0002045707],"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":[0.0002722113,0.0001505103,0.0001464199,0.00009098216,0.0008642073,0.00008140083,0.0001027729,0.8071428,0.167557,0.01782866,0.003371625,0.002391392],"study_design_scores_gemma":[0.001313824,0.0003298488,0.001175517,0.0001284401,0.00002873752,0.00007897383,0.00003688959,0.9928243,0.0002945657,0.002326205,0.001296466,0.0001662757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1910996,0.0002082786,0.8039379,0.0003409493,0.003655333,0.0004143763,0.000114214,0.00006334515,0.0001660852],"genre_scores_gemma":[0.9887794,0.00002006229,0.01000307,0.0000613919,0.0009582546,0.00003158701,0.0000356448,0.00006332686,0.00004726029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7976798,"threshold_uncertainty_score":0.7991101,"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."}}