{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006074589,0.0003344647,0.0007113019,0.00006572784,0.0004889268,0.0002333457,0.0003303145,0.0001792849,0.0000154293],"category_scores_gemma":[0.0002678568,0.000303279,0.00009968569,0.00007799768,0.0003321382,0.0006524354,0.00001246197,0.0001644096,0.000006115752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007022831,"about_ca_system_score_gemma":0.0002140152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006869161,"about_ca_topic_score_gemma":0.0000868163,"domain_scores_codex":[0.9983475,0.00009585026,0.0005309524,0.0003719941,0.0002859663,0.0003677892],"domain_scores_gemma":[0.9973244,0.0006287637,0.0003503507,0.0004867064,0.001092748,0.0001170027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0114934,0.0004279418,0.4822502,0.003993046,0.003586059,0.00001882577,0.001137927,0.0969402,0.123749,0.2473236,0.0008543783,0.02822538],"study_design_scores_gemma":[0.0544112,0.0009051379,0.4190148,0.001285425,0.0007254407,0.0000126892,0.00008705657,0.5056037,0.006872687,0.006640954,0.003505636,0.0009353472],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.104807,0.0004724308,0.8915657,0.0003742152,0.0002375224,0.001512294,0.000190575,0.0001626969,0.0006775806],"genre_scores_gemma":[0.9986009,0.00004340555,0.0003269507,0.0001469657,0.0001396892,0.0005848249,0.0000210142,0.00003709101,0.00009915552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8937939,"threshold_uncertainty_score":0.9999419,"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."}}