{"id":"W2074953358","doi":"10.1016/j.advengsoft.2010.05.002","title":"Bezier-PARSEC: An optimized aerofoil parameterization for design","year":2010,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Mennonite University; University of Manitoba","funders":"","keywords":"Airfoil; Parsec; Bézier curve; Convergence (economics); Aerodynamics; Computer science; Degrees of freedom (physics and chemistry); Mathematical optimization; Range (aeronautics); Applied mathematics; Algorithm; Mathematics; Geometry; Physics; Aerospace engineering; Mechanics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007687393,0.001572833,0.00120288,0.000937906,0.0006213682,0.001008516,0.001943281,0.001092718,0.01290995],"category_scores_gemma":[0.002434123,0.0007816331,0.001036254,0.0009996783,0.0004800805,0.001157215,0.00111826,0.002061577,0.004117882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006835024,"about_ca_system_score_gemma":0.001591354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00481331,"about_ca_topic_score_gemma":0.00710915,"domain_scores_codex":[0.9992294,0.0001531502,0.00003064114,0.00007109829,0.0004513169,0.00006435335],"domain_scores_gemma":[0.9995248,0.0001179441,0.00003478708,0.0001342473,0.0001681755,0.00002009309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003647257,0.0001913737,0.0009102093,0.0003825053,0.0001196289,0.0001061694,0.000175727,0.417491,0.04214855,0.05461989,0.02594673,0.4575435],"study_design_scores_gemma":[0.00007763495,0.0000542692,0.0002253819,0.00003089666,0.00002625359,0.00006829979,0.00001492487,0.9268643,0.01810224,0.008782397,0.04570848,0.00004492716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005032753,0.00009824076,0.982972,0.0000616574,0.00005475572,0.00005885225,0.0003522444,0.005992214,0.005377369],"genre_scores_gemma":[0.1102749,0.000226816,0.8723855,0.0001407481,0.00003886449,0.0002822186,0.001177931,0.008437764,0.007035276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01290995,"threshold_uncertainty_score":0.0431881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007858259523017996,"score_gpt":0.2506201689417925,"score_spread":0.2427619094187745,"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."}}