{"id":"W4407414521","doi":"10.2514/6.2025-0484","title":"Progress in the Application of an Aerodynamic Shape Optimization Capability Using Hybrid Laminar Flow Control to Airfoils and Infinite Swept Wings","year":2025,"lang":"en","type":"article","venue":"","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Airfoil; Aerodynamics; Laminar flow; Computer science; Aerospace engineering; Flow control (data); Flow (mathematics); Swept wing; Control theory (sociology); Control (management); Mechanics; Engineering; Physics; Artificial intelligence; Telecommunications","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":[0.0007933367,0.0008685373,0.0005530875,0.0003899375,0.0002794168,0.0008344257,0.0007113873,0.0005396663,0.001237975],"category_scores_gemma":[0.0007160321,0.0003335413,0.0008627439,0.0002754721,0.0005594154,0.000633464,0.0007116005,0.001056031,0.0003035285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003285072,"about_ca_system_score_gemma":0.0005681756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013888,"about_ca_topic_score_gemma":0.001197719,"domain_scores_codex":[0.9997373,0.00004652922,0.00001664578,0.00005845023,0.0001153004,0.00002577203],"domain_scores_gemma":[0.999499,0.0001625985,0.00006189031,0.0001352684,0.0001120443,0.00002933775],"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":[0.000181534,0.0004374202,0.002309891,0.001037143,0.0001800076,0.0001353973,0.0002909295,0.4312479,0.261679,0.02357656,0.001008163,0.277916],"study_design_scores_gemma":[0.00004145571,0.0008038753,0.001364948,0.00008221895,0.00005545959,0.0001299946,0.00005080558,0.8835894,0.09667709,0.002057008,0.01507785,0.00006990979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1494898,0.004249492,0.8361751,0.0002165409,0.00009822668,0.00009742556,0.00005435555,0.0008040477,0.008815014],"genre_scores_gemma":[0.6726269,0.002613258,0.3218258,0.00007243259,0.00007668755,0.0001186488,0.0001851219,0.0002050489,0.002276231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0013888,"threshold_uncertainty_score":0.004195631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003897318435764249,"score_gpt":0.2278448817771197,"score_spread":0.2239475633413555,"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."}}