{"id":"W2740457770","doi":"10.2514/1.j055978","title":"Investigation into Aerodynamic Shape Optimization of Planar and Nonplanar Wings","year":2017,"lang":"en","type":"article","venue":"AIAA Journal","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Office National d'études et de Recherches Aérospatiales","keywords":"Aerodynamics; Shape optimization; Robustness (evolution); Mathematics; Nonlinear system; Mathematical optimization; Optimization problem; Computer science; Computational fluid dynamics; Applied mathematics; Finite element method; Aerospace engineering; Engineering; Structural 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001592516,0.00009222766,0.0001195275,0.00008569577,0.0002433983,0.0001298209,0.0001491709,0.00004948687,0.00001607006],"category_scores_gemma":[0.00004142954,0.00009428282,0.00002949513,0.00003436345,0.00006026414,0.0003097485,0.00002208775,0.000145437,0.000001712613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004208226,"about_ca_system_score_gemma":0.00002263311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002392889,"about_ca_topic_score_gemma":0.00004180218,"domain_scores_codex":[0.9994465,0.00001015556,0.0002230309,0.00007996058,0.0001379532,0.0001024684],"domain_scores_gemma":[0.999586,0.0000288135,0.0001147801,0.0001167914,0.00007402647,0.00007955099],"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":[0.000008377533,0.000005826299,0.01105278,0.00005319458,0.00005672307,0.00001036528,0.0004041332,0.9702994,0.005672654,0.002865557,0.0001720634,0.009398894],"study_design_scores_gemma":[0.0002320649,0.00002459456,0.0456891,0.00005223461,0.00001316936,0.00006423484,0.00001958144,0.9490237,0.00002376344,0.004745321,0.00001849971,0.00009378676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9356365,0.0001151688,0.06341194,0.0003184598,0.0002560758,0.00004186568,0.000006117721,0.00002335391,0.0001905105],"genre_scores_gemma":[0.9787256,0.0002345533,0.02088077,0.0000255035,0.00008243039,7.464527e-7,0.00001894877,0.00001734985,0.00001407991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04308912,"threshold_uncertainty_score":0.3844742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008140698256576687,"score_gpt":0.2074059914946437,"score_spread":0.199265293238067,"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."}}