{"id":"W2771707279","doi":"10.2514/1.c034605","title":"Aerostructural Optimization of Drooped Wings","year":2017,"lang":"en","type":"article","venue":"Journal of Aircraft","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Compute Canada; University of Michigan; National Aeronautics and Space Administration","keywords":"Wing; Wing loading; Wing twist; Camber (aerodynamics); Swept wing; Transonic; Aerospace engineering; Drag; Washout; Structural engineering; Aerodynamics; Lift-induced drag; Wing configuration; Span (engineering); Lift-to-drag ratio; Angle of attack; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001688706,0.0005009732,0.0003094551,0.0003665576,0.0002353783,0.0006153613,0.0003336488,0.0003011933,0.001844111],"category_scores_gemma":[0.0005585882,0.0002329201,0.0003327905,0.0001703959,0.000295736,0.0003947752,0.0005053718,0.0002522625,0.0002318066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002716779,"about_ca_system_score_gemma":0.0003273052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279834,"about_ca_topic_score_gemma":0.002652887,"domain_scores_codex":[0.9999127,0.00001174733,0.000003278946,0.00001405526,0.00003195071,0.00002619316],"domain_scores_gemma":[0.9998356,0.00005177016,0.00003463375,0.00002596914,0.00003829894,0.00001365384],"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":[0.0001033236,0.00003931445,0.002099278,0.00007514628,0.00003528662,0.0001913047,0.00003762684,0.9401819,0.03524904,0.002524521,0.0002358901,0.01922743],"study_design_scores_gemma":[0.0000222932,0.0002575246,0.002235098,0.00001825215,0.0000253807,0.0001062103,0.00009625241,0.9791991,0.01339028,0.00158377,0.003049032,0.00001676455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8654445,0.0003414679,0.1121921,0.00008119326,0.0000333982,0.00005350991,0.0002358744,0.0001174507,0.0215004],"genre_scores_gemma":[0.9858881,0.0001282582,0.01214268,0.0000164056,0.000002932284,0.00001928721,0.000146353,0.00003669435,0.001619425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001844111,"threshold_uncertainty_score":0.00616914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125137175181177,"score_gpt":0.2487438519177065,"score_spread":0.2362301343995888,"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."}}