{"id":"W2810321645","doi":"10.1155/2018/1467040","title":"A Load Transportation Nonlinear Control Strategy Using a Tilt-Rotor UAV","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Control theory (sociology); Nonlinear system; Computer science; Rotor (electric); Controller (irrigation); Artificial intelligence; Physics; Control (management); Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002506524,0.0002358096,0.0004461483,0.0001602828,0.00005950297,0.00002414995,0.0001459638,0.0001164448,0.00004140271],"category_scores_gemma":[0.00002032524,0.0002274945,0.0001940991,0.000231773,0.00005868385,0.0007964164,3.039843e-7,0.0002523508,0.00001095853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001977947,"about_ca_system_score_gemma":0.0001613883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001831992,"about_ca_topic_score_gemma":0.0003927143,"domain_scores_codex":[0.9980792,0.00002963215,0.0009978939,0.0001483536,0.0004835822,0.000261277],"domain_scores_gemma":[0.9983768,0.00005109309,0.0004197784,0.0001350388,0.0008778353,0.0001394735],"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":[0.0009270802,0.00008397509,0.001086004,0.0001313138,0.0002841354,0.0001603401,0.001977617,0.7756394,0.2117909,0.00007150445,0.00005810977,0.007789677],"study_design_scores_gemma":[0.04374086,0.005768884,0.4090635,0.002119738,0.002011792,0.0003051281,0.004653658,0.4525079,0.03820515,0.00089384,0.03793642,0.002793114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8052219,0.0004952008,0.1928314,0.00002554399,0.000856362,0.0003330098,0.00009373808,0.00007579511,0.00006707069],"genre_scores_gemma":[0.9801472,0.00003689857,0.01862966,0.0000311569,0.00105254,0.000005932413,0.00001990241,0.00005989204,0.00001682476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4079775,"threshold_uncertainty_score":0.9276955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418543168147768,"score_gpt":0.2569383236194922,"score_spread":0.2427528919380145,"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."}}