{"id":"W2036602684","doi":"10.4271/2012-01-0298","title":"CFD Analysis of Various Automotive Bodies in Linear Static Pressure Gradients","year":2012,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Automotive industry; Computational fluid dynamics; Automotive engineering; Mechanical engineering; Computer science; Mechanics; Aerospace engineering; Engineering; Physics","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":[0.0001315768,0.0001852487,0.0002013166,0.0004348232,0.000342959,0.000541906,0.0002090652,0.0002618446,0.001397101],"category_scores_gemma":[0.0003782353,0.0001139329,0.0002620241,0.0002911246,0.0003521976,0.0002075055,0.0003166937,0.0001896095,0.0003780411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003255081,"about_ca_system_score_gemma":0.0004891675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004838244,"about_ca_topic_score_gemma":0.00372376,"domain_scores_codex":[0.9998952,0.000009275988,0.000004704152,0.0000147132,0.00004555402,0.00003061484],"domain_scores_gemma":[0.9998761,0.00004266141,0.0000114491,0.00001304999,0.00004139573,0.00001532909],"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":[0.0005648364,0.0003283223,0.04837372,0.0002058135,0.00004288051,0.001131012,0.001107947,0.5737609,0.2777588,0.008137927,0.003466362,0.08512142],"study_design_scores_gemma":[0.00001563487,0.0001369689,0.03081765,0.00001629677,0.00001307796,0.0001378074,0.0004215456,0.8960891,0.06928395,0.0005721042,0.002462005,0.00003388737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972643,0.00005914677,0.01857623,0.0000671841,0.00002391813,0.00002661376,0.0002446528,0.0002601741,0.008099144],"genre_scores_gemma":[0.9925725,0.00004427271,0.004486085,0.00001587257,0.000003216161,0.00001225318,0.0002255514,0.0000286731,0.00261152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004838244,"threshold_uncertainty_score":0.00962019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043278432486008,"score_gpt":0.2613083935904406,"score_spread":0.2508756092655805,"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."}}