{"id":"W2967441303","doi":"10.1109/rose.2019.8790425","title":"An Online Reinforcement Learning Wing-Tracking Mechanism for Flexible Wing Aircraft","year":2019,"lang":"en","type":"article","venue":"","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Wing; Reinforcement learning; Mechanism (biology); Computer science; Aeronautics; Aerospace engineering; Simulation; Artificial intelligence; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005110548,0.0004187255,0.0003940804,0.0001840083,0.0002756168,0.0003592566,0.001131952,0.0006255792,0.001643425],"category_scores_gemma":[0.0009449787,0.0001484558,0.0002539251,0.0001157269,0.0005190058,0.0004108321,0.0006337209,0.000610407,0.0002767351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003018645,"about_ca_system_score_gemma":0.0003804129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001560215,"about_ca_topic_score_gemma":0.0009707641,"domain_scores_codex":[0.9998342,0.00003404906,0.00000960286,0.0000464895,0.00004992392,0.00002564707],"domain_scores_gemma":[0.9996779,0.0001044421,0.00007173779,0.00004022161,0.00007052768,0.00003522355],"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":[0.0002762648,0.0002502399,0.0008955572,0.0001693271,0.00007731179,0.0003696931,0.0001534479,0.7783773,0.05036487,0.02617833,0.001774003,0.1411136],"study_design_scores_gemma":[0.00002127353,0.00009583818,0.0001040067,0.000003841571,0.000005097299,0.00002961443,0.00000221793,0.9962327,0.001762444,0.001283602,0.0004522861,0.000007083975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04660045,0.0002472465,0.9479975,0.0001757521,0.0001226343,0.00007170806,0.00001599962,0.0008758863,0.003892733],"genre_scores_gemma":[0.9651059,0.00008165578,0.03194536,0.00005681701,0.00002669169,0.00006591034,0.0000131225,0.00001586156,0.002688671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001643425,"threshold_uncertainty_score":0.005497813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542890790449781,"score_gpt":0.277794600672952,"score_spread":0.2523656927684542,"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."}}