{"id":"W2570476262","doi":"10.2514/6.2017-1721","title":"Gust Load Alleviation Control for a Flexible Aircraft with Loss of Control Effectiveness","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"China Scholarship Council; University of Toronto","keywords":"Control (management); Computer science; Control theory (sociology); Automotive engineering; Environmental science; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001822547,0.0004438178,0.0003108048,0.0001587051,0.0005065307,0.000432414,0.0004131634,0.0003705023,0.0008571069],"category_scores_gemma":[0.0003636587,0.0001307856,0.0002101749,0.0001185327,0.0004765374,0.0002831808,0.0004585576,0.0003254054,0.00009121923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366632,"about_ca_system_score_gemma":0.0002614437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004212113,"about_ca_topic_score_gemma":0.003686523,"domain_scores_codex":[0.9999149,0.00001063431,0.000005097641,0.0000136389,0.00002407998,0.00003166938],"domain_scores_gemma":[0.999844,0.00004658769,0.00003449211,0.00001335389,0.0000450759,0.00001655594],"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":[0.001383551,0.0001599486,0.002067627,0.0001436934,0.00006489232,0.0007799933,0.0003136448,0.7941848,0.1261696,0.004382631,0.00138422,0.06896532],"study_design_scores_gemma":[0.00002156356,0.0002051407,0.0007431395,0.000002928702,0.00000911936,0.00002852632,0.0000208833,0.9958025,0.002750665,0.0002727984,0.0001375855,0.00000522342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5966361,0.0002114212,0.3956533,0.0003496838,0.0001171153,0.00004937534,0.000034482,0.000322431,0.006625971],"genre_scores_gemma":[0.9983139,0.00001154074,0.001218716,0.000009844915,0.000006563271,0.000005172793,0.000004333773,0.000002810844,0.0004270934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004212113,"threshold_uncertainty_score":0.008375168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035869670309237,"score_gpt":0.2353993585895532,"score_spread":0.2250406618864608,"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."}}