{"id":"W3019841248","doi":"10.3390/drones4020014","title":"An Annular Wing VTOL UAV: Flight Dynamics and Control","year":2020,"lang":"en","type":"article","venue":"Drones","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Aerodynamics; Aerospace engineering; Takeoff and landing; Wing; Thrust; Takeoff; Propeller; Propulsion; Propulsor; Wing twist; Lift (data mining); Engineering; Control theory (sociology); Angle of attack; Computer science; Marine engineering; Control (management)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004731584,0.0003039606,0.0001664998,0.00009428874,0.0001862936,0.0002760671,0.0002516219,0.0001801932,0.001203659],"category_scores_gemma":[0.00008359778,0.00007122056,0.00008118373,0.00006818799,0.0001459918,0.0001460356,0.0002859467,0.0001827966,0.0003690107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001191061,"about_ca_system_score_gemma":0.0002113192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001993217,"about_ca_topic_score_gemma":0.002081336,"domain_scores_codex":[0.9999658,0.000004111942,0.000001680789,0.000007972431,0.00001272089,0.000007683358],"domain_scores_gemma":[0.9999638,0.000005218495,0.000007680976,0.00000518957,0.00001068601,0.000007461886],"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":[0.0006397316,0.0001479013,0.004840068,0.000390861,0.00003881184,0.001238274,0.0002807028,0.4039629,0.3850626,0.01551261,0.005647588,0.182238],"study_design_scores_gemma":[0.00004656249,0.0005081873,0.002446701,0.00001947685,0.00001334791,0.0003198834,0.00006099874,0.9618293,0.02080679,0.0009187488,0.01301319,0.00001670831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.397482,0.0005446636,0.5774642,0.000172653,0.0001525201,0.0001359663,0.0003534272,0.001795414,0.02189905],"genre_scores_gemma":[0.9670505,0.0001150048,0.02755956,0.00003870384,0.0000173388,0.00006820836,0.0001782573,0.00002158695,0.00495084],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001993217,"threshold_uncertainty_score":0.004026651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006832090832073092,"score_gpt":0.1929929330992561,"score_spread":0.186160842267183,"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."}}