{"id":"W2320963516","doi":"10.2514/6.2013-2583","title":"Toward High-Fidelity Aerodynamic Shape Optimization for Natural Laminar Flow","year":2013,"lang":"en","type":"article","venue":"21st AIAA Computational Fluid Dynamics Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Laminar flow; Aerodynamics; Computer science; High fidelity; Aerospace engineering; Physics; Engineering; Acoustics","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":[0.001037858,0.0006005587,0.000517558,0.0004007043,0.0003218428,0.0008486838,0.0007750714,0.0008253602,0.001029996],"category_scores_gemma":[0.001968512,0.000466798,0.0005658063,0.0002293531,0.000679551,0.0007117409,0.0009803309,0.0009879859,0.000394166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004993677,"about_ca_system_score_gemma":0.001177493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002054397,"about_ca_topic_score_gemma":0.002225538,"domain_scores_codex":[0.9996721,0.00008898942,0.0000125487,0.00003434727,0.0001659972,0.00002605441],"domain_scores_gemma":[0.9994399,0.0002155375,0.00007472269,0.0000836651,0.0001508716,0.00003538443],"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":[0.00002539138,0.00003360759,0.0004564416,0.0000310852,0.000009790743,0.00002379174,0.00003585382,0.9697212,0.004984948,0.006954469,0.000297137,0.01742637],"study_design_scores_gemma":[0.000002871251,0.000008181697,0.00003057505,0.000001899835,4.955108e-7,0.000004591674,0.000002515142,0.998455,0.0005118638,0.0007447112,0.000235594,0.000001666567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02049434,0.00006747183,0.9772549,0.00007280731,0.00001155144,0.00002914928,0.00002450835,0.000239447,0.001805928],"genre_scores_gemma":[0.383728,0.0001358726,0.6130768,0.00008077793,0.00002885301,0.0001685179,0.0001614189,0.000220313,0.002399329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002054397,"threshold_uncertainty_score":0.005488753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105537676639831,"score_gpt":0.20906063932015,"score_spread":0.1985068716561668,"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."}}