{"id":"W2334284027","doi":"10.1109/maes.2014.130034","title":"Robust control of aerial vehicle flight: Simulation and experimental results","year":2014,"lang":"en","type":"article","venue":"IEEE Aerospace and Electronic Systems Magazine","topic":"Guidance and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Connaught Fund","keywords":"Automation; Aeronautics; Engineering; Air traffic control; Interurban; Aerodynamics; Aviation; Control (management); Control engineering; Systems engineering; Computer science; Aerospace engineering; Transport engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000336636,0.0002032248,0.0004185793,0.00005289244,0.00005780965,0.00005164794,0.00007014222,0.0001111439,0.000001894254],"category_scores_gemma":[0.00001739492,0.0001889235,0.00003916956,0.00009063429,0.00003874615,0.0001494465,0.000008296697,0.0001068255,0.00001368932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005809404,"about_ca_system_score_gemma":0.00001448878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007620301,"about_ca_topic_score_gemma":0.00004807851,"domain_scores_codex":[0.9987451,0.00006394315,0.0003953115,0.000235486,0.0001656606,0.0003944781],"domain_scores_gemma":[0.9994667,0.00009133208,0.00009958308,0.0002140993,0.00004580251,0.00008250434],"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":[0.0002901184,0.00002880768,0.0005162172,0.0001766619,0.0001092798,0.000001327346,0.0003789358,0.5806135,0.4156802,0.0007376483,0.000971952,0.0004953413],"study_design_scores_gemma":[0.006092653,0.0004389015,0.0007739381,0.0001057551,0.00004090721,0.00001683021,0.0001015865,0.9727696,0.01063857,0.0000144333,0.008712358,0.0002944352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765928,0.008209174,0.0126501,0.0000574062,0.0006408973,0.0004556743,0.00001331399,0.0001485471,0.001232071],"genre_scores_gemma":[0.9991177,0.00005265093,0.000007926282,0.00001394186,0.0004667542,0.00003787573,0.000004443493,0.00003166137,0.0002670117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4050416,"threshold_uncertainty_score":0.7704076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008477072189234103,"score_gpt":0.2055612150770128,"score_spread":0.1970841428877787,"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."}}