{"id":"W2782139169","doi":"10.2514/6.2018-1910","title":"Morphing Wings: A Study Using Aerodynamic Shape Optimization","year":2018,"lang":"en","type":"article","venue":"2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Morphing; Aerodynamics; Computer science; Aerospace engineering; Aeronautics; Computer graphics (images); 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":[0.0002376036,0.0003756042,0.0003963609,0.0004085026,0.0003093105,0.0004684303,0.0004076116,0.0006716122,0.00143669],"category_scores_gemma":[0.0009272683,0.0002564564,0.0005203067,0.0003738327,0.0003268222,0.0004642188,0.0002390203,0.0002975684,0.0001691032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001565274,"about_ca_system_score_gemma":0.0001691756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002329899,"about_ca_topic_score_gemma":0.001726685,"domain_scores_codex":[0.9999104,0.00002511779,0.00000483848,0.00001763392,0.0000276553,0.00001429087],"domain_scores_gemma":[0.9996639,0.0002040006,0.00003265632,0.00004735263,0.0000362267,0.0000157825],"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":[0.0003534161,0.0003602296,0.008817726,0.0002174567,0.0001116309,0.000290104,0.0001382925,0.8625425,0.03411356,0.004452422,0.0005503069,0.08805232],"study_design_scores_gemma":[0.00001220313,0.0001390797,0.002521801,0.000006763464,0.00001850498,0.00006024617,0.00004019841,0.9937768,0.002576818,0.0002395997,0.0006004212,0.000007586858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259213,0.000719086,0.06207919,0.00008666874,0.00004102915,0.00009180375,0.0001156134,0.0001328563,0.01081244],"genre_scores_gemma":[0.979247,0.0002820377,0.01832495,0.00001825336,0.0000122272,0.00001936581,0.0001217094,0.00006704371,0.001907329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002329899,"threshold_uncertainty_score":0.004806161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476568333203673,"score_gpt":0.2322497515922972,"score_spread":0.2174840682602605,"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."}}