{"id":"W2331784305","doi":"10.2514/6.2007-1916","title":"Airfoil Generation and Optimization using Multiresolution B-Spline Control with Geometrical Constraints","year":2007,"lang":"en","type":"article","venue":"48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Airfoil; Spline (mechanical); Computer science; B-spline; Mathematics; Engineering; Aerospace engineering; Structural engineering; Mathematical analysis","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":[0.000455355,0.000480951,0.0005417541,0.0003691637,0.0002520459,0.0005944587,0.0005306714,0.0005028059,0.001226194],"category_scores_gemma":[0.0009968,0.0002967109,0.0005253592,0.0002629524,0.0003368049,0.0004825973,0.0007457209,0.0006270138,0.0002458256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530442,"about_ca_system_score_gemma":0.0003301291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00126561,"about_ca_topic_score_gemma":0.001077599,"domain_scores_codex":[0.9997813,0.00005236812,0.0000094052,0.00003245207,0.0001059146,0.00001852133],"domain_scores_gemma":[0.9997602,0.0001020191,0.000037366,0.00004539883,0.00003713548,0.00001777209],"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":[0.00006150552,0.00003399029,0.0002831975,0.00006113336,0.00001556896,0.00006526942,0.00008827836,0.8895837,0.03241435,0.01232139,0.0004029628,0.06466866],"study_design_scores_gemma":[0.000004630438,0.00001765069,0.00004709889,0.000002045387,0.000001517755,0.00001130997,0.000003276403,0.9964365,0.002142867,0.0006531206,0.000677013,0.00000311011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01446186,0.00005155578,0.9840556,0.00002856765,0.000009621333,0.00001994792,0.00001322605,0.0001642999,0.001195245],"genre_scores_gemma":[0.4744518,0.0001532207,0.5230896,0.00002970032,0.0000233201,0.0001216518,0.00007010046,0.0001657828,0.001894824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00126561,"threshold_uncertainty_score":0.004101992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093592047614445,"score_gpt":0.2342374859564158,"score_spread":0.2233015654802714,"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."}}