{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001543498,0.00007904373,0.000177616,0.00003637392,0.0001359639,0.00002799046,0.0005096805,0.0000579964,0.0003089207],"category_scores_gemma":[0.0002328314,0.00006040316,0.00007708936,0.00004818497,0.0003007895,0.0006706731,0.0001358711,0.0001338073,0.000009682396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004830519,"about_ca_system_score_gemma":0.000009947769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001456645,"about_ca_topic_score_gemma":0.000004145092,"domain_scores_codex":[0.9992555,0.00001146054,0.0002819229,0.00008137181,0.0002491941,0.0001204833],"domain_scores_gemma":[0.9989843,0.00002057103,0.0006647171,0.0002598647,0.00002706885,0.00004343449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002462285,0.0001841859,0.3781875,0.00003611627,0.0001014905,0.0001610753,0.0008076458,0.2504095,0.2458245,0.0004481361,0.005277375,0.1183162],"study_design_scores_gemma":[0.004936444,0.002027303,0.6061897,0.0003211195,0.0001652764,0.0007599158,0.0007759942,0.01218726,0.3373647,0.02169735,0.01258824,0.0009866949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422186,0.00004735124,0.05425001,0.001140225,0.0002914821,0.0000796618,0.000001769367,0.00002441314,0.001946494],"genre_scores_gemma":[0.9406733,0.00003789773,0.05903443,0.00002610715,0.00003052903,3.59076e-7,2.033734e-7,0.000006863821,0.0001903071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2382222,"threshold_uncertainty_score":0.3382465,"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."}}