{"id":"W3158107096","doi":"10.1109/tie.2021.3075886","title":"Design and Control of a Novel Coaxial Tilt-Rotor UAV","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Liaoning Revitalization Talents Program; National Natural Science Foundation of China","keywords":"Control theory (sociology); Coaxial; Controller (irrigation); Rotor (electric); Tilt (camera); Engineering; Adaptive control; Trajectory; Control engineering; Computer science; Physics; Mechanical engineering; Control (management)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002084429,0.0002003063,0.0003769111,0.00009615441,0.0000644254,0.00002521544,0.00009701576,0.0002727103,0.00003770163],"category_scores_gemma":[0.00002080343,0.0002179179,0.00009636796,0.0002317004,0.00004604644,0.00008965969,6.304891e-7,0.0005775797,0.000006335436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711561,"about_ca_system_score_gemma":0.0003290578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001086304,"about_ca_topic_score_gemma":0.00002617851,"domain_scores_codex":[0.9988135,0.00008411642,0.0003625519,0.0002048314,0.0002061132,0.0003288534],"domain_scores_gemma":[0.9992296,0.0002953102,0.00005720715,0.0002129921,0.0001107749,0.0000941507],"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":[0.0007298173,0.0003103972,0.000004092769,0.00003362876,0.0006822599,0.00001406125,0.0001160775,0.6071999,0.3673817,0.0002200282,0.0002779311,0.02303008],"study_design_scores_gemma":[0.01398815,0.0008474764,0.000005353234,0.00009559028,0.0002725819,0.000077794,0.00006389663,0.5921996,0.3826784,0.00002541067,0.009276638,0.0004691597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01168054,0.0004988229,0.9861522,0.0000839467,0.0007694059,0.000537078,0.00007541294,0.0001204926,0.00008209934],"genre_scores_gemma":[0.9982285,0.0000773664,0.001164734,0.00002744009,0.0002421584,0.00006324384,0.000002074115,0.00004840974,0.0001460772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9865479,"threshold_uncertainty_score":0.8886433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03998353632028661,"score_gpt":0.2329226720205637,"score_spread":0.1929391357002771,"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."}}