{"id":"W2158783223","doi":"10.5589/q11-016","title":"Attitude control of a mini flying-wing UAV using the multiple simultaneous specification design method","year":2011,"lang":"en","type":"article","venue":"Canadian aeronautics and space journal","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Attitude control; Fixed wing; Control engineering; Engineering; Autopilot; Control system; Simulation; Computer science; Control (management); Wing; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003600588,0.0004084304,0.0002977781,0.0001818301,0.0002175258,0.000403022,0.0003711101,0.0002661663,0.0007908989],"category_scores_gemma":[0.0003653844,0.0002277207,0.0003308872,0.0001188829,0.0002252674,0.0002102015,0.0003520259,0.0003461023,0.0001261454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897165,"about_ca_system_score_gemma":0.0005557381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002114478,"about_ca_topic_score_gemma":0.002676681,"domain_scores_codex":[0.9998215,0.00004771475,0.00001033459,0.00002538685,0.00008198033,0.00001307312],"domain_scores_gemma":[0.9998312,0.00005126252,0.0000394797,0.00001691775,0.00005184967,0.000009247537],"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":[0.0002653826,0.00005616972,0.001349026,0.0003729978,0.00006668755,0.0002129842,0.0002903748,0.6939649,0.1364674,0.01648015,0.00110135,0.1493726],"study_design_scores_gemma":[0.00005067449,0.0004558187,0.0004616696,0.0000150859,0.00001997577,0.0001002816,0.00002146616,0.9835873,0.01107987,0.001123894,0.003071208,0.00001266173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03956242,0.0001076507,0.9564932,0.00004514923,0.00001978897,0.00005033481,0.00002258,0.0002473014,0.003451588],"genre_scores_gemma":[0.8691403,0.0001416591,0.127204,0.00005001801,0.00001261849,0.0002206751,0.0000680053,0.00002505913,0.003137566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002114478,"threshold_uncertainty_score":0.004204333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03551165491346685,"score_gpt":0.2155243577017867,"score_spread":0.1800127027883199,"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."}}