{"id":"W4401534127","doi":"10.3390/drones8080392","title":"Novel Twist Morphing Aileron and Winglet Design for UAS Control and Performance","year":2024,"lang":"en","type":"article","venue":"Drones","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Canada Research Chairs","keywords":"Aileron; Morphing; Drag; Wingtip device; Twist; Lift-induced drag; Lift-to-drag ratio; Airfoil; Wing; Elevator; Actuator; Computer science; Aerospace engineering; Engineering; Structural engineering; Mathematics; Geometry; Artificial intelligence","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":[0.0001122206,0.0003937155,0.0001946258,0.0002198347,0.0001244858,0.0002548922,0.0002905334,0.0002805914,0.001175081],"category_scores_gemma":[0.0001314514,0.0001087979,0.0001942461,0.00008690047,0.0001408047,0.0002814082,0.0002126808,0.0002577389,0.0002633191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001585186,"about_ca_system_score_gemma":0.000161252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002706933,"about_ca_topic_score_gemma":0.0004466175,"domain_scores_codex":[0.9999236,0.00001140228,0.000003643374,0.00001538663,0.00003597147,0.000009941493],"domain_scores_gemma":[0.9999394,0.00001016133,0.00001738048,0.000008747809,0.00001658679,0.00000767158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002395187,0.00009304519,0.001845412,0.0002402528,0.00003081498,0.0002140168,0.00007149748,0.2406982,0.5846218,0.008554984,0.0008089312,0.1625816],"study_design_scores_gemma":[0.00003133277,0.001279029,0.002922336,0.00002139964,0.00002991074,0.0003685977,0.0000390538,0.8930048,0.085688,0.001660167,0.0149205,0.00003507119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1807465,0.0003494287,0.8077169,0.000079703,0.00007844458,0.00009956863,0.00006979388,0.0003514737,0.0105082],"genre_scores_gemma":[0.8420349,0.0002021104,0.1534131,0.00004677654,0.00002449449,0.00009788084,0.00009796227,0.00005214629,0.00403062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001175081,"threshold_uncertainty_score":0.003931046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667926775258548,"score_gpt":0.2025052580925276,"score_spread":0.1858259903399421,"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."}}