{"id":"W2327243740","doi":"10.2514/6.2014-0412","title":"Adjoint-Based Aerodynamic Optimization Framework","year":2014,"lang":"en","type":"article","venue":"52nd Aerospace Sciences Meeting","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Aerodynamics; Computer science; Aerospace engineering; Mathematical optimization; Engineering; Mathematics","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":[0.0008376769,0.0007802909,0.0009756269,0.0006236171,0.0003990291,0.001247437,0.001541899,0.001338769,0.007030226],"category_scores_gemma":[0.001099629,0.0004392578,0.0007296476,0.000433698,0.0006488396,0.0009242288,0.002095193,0.00168377,0.001698498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152117,"about_ca_system_score_gemma":0.001274185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001988607,"about_ca_topic_score_gemma":0.002253576,"domain_scores_codex":[0.9995777,0.0001178089,0.00001385337,0.00006070902,0.0001869848,0.00004294138],"domain_scores_gemma":[0.9996688,0.00009338387,0.00002637185,0.00004856437,0.0001261448,0.00003667523],"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":[0.0000611467,0.00009307128,0.0002583601,0.0001104235,0.00004500985,0.00009216891,0.00003375576,0.7964258,0.004952583,0.1479776,0.004430023,0.04552007],"study_design_scores_gemma":[0.000005690773,0.00001663011,0.00002551242,0.000003740602,0.000003177558,0.00001260151,0.000003084704,0.9851967,0.0003114515,0.01287392,0.001543517,0.00000402083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001576677,0.00009284091,0.9925919,0.00009990686,0.00006007892,0.00001782136,0.00008388629,0.0002749131,0.005201969],"genre_scores_gemma":[0.3992075,0.0004198238,0.5750362,0.0003743689,0.000352679,0.000282296,0.00105457,0.0005253935,0.02274727],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007030226,"threshold_uncertainty_score":0.02351844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004581414351579695,"score_gpt":0.197313672948116,"score_spread":0.1927322585965363,"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."}}