{"id":"W4379805040","doi":"10.2514/6.2023-3387","title":"A Sensitivity-Driven Approach to Automotive Aerodynamic Design","year":2023,"lang":"en","type":"article","venue":"","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Aerodynamics; Automotive industry; Sensitivity (control systems); Computer science; Automotive engineering; Aerospace engineering; Engineering; Electronic 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005238876,0.0001969799,0.0002094262,0.0003487003,0.00008618677,0.00006981026,0.000175821,0.00009796438,0.00001661934],"category_scores_gemma":[0.00005954828,0.0001929992,0.00006724194,0.001158701,0.00003865457,0.00008572967,0.0001407795,0.0002304004,0.001289186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606322,"about_ca_system_score_gemma":0.00002870029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003776393,"about_ca_topic_score_gemma":0.0001119001,"domain_scores_codex":[0.9985459,0.0000771696,0.000167728,0.0003135613,0.0002993158,0.0005963075],"domain_scores_gemma":[0.9992305,0.0001347527,0.000007561138,0.0003251233,0.00008804198,0.0002140226],"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":[0.000004629763,0.00002108585,0.00005314762,0.00002405863,0.00004333392,0.00002910003,0.0002728934,0.9711278,0.0199671,0.003154184,0.004126134,0.001176527],"study_design_scores_gemma":[0.0001226438,0.00002792378,0.01229395,0.000006593257,0.000004290073,0.000008346275,0.00009633735,0.9868765,0.00007217958,0.0001592945,0.00009636718,0.0002355447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1727072,0.000006683899,0.7932575,0.000154787,0.000158432,0.0005544017,0.00002882839,0.001953134,0.03117898],"genre_scores_gemma":[0.9778003,0.00002759554,0.01948412,0.00005693606,0.00004242283,0.00006612104,0.00005293829,0.00007998459,0.002389585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8050931,"threshold_uncertainty_score":0.9994884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02607227703886782,"score_gpt":0.2496052638231184,"score_spread":0.2235329867842505,"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."}}