{"id":"W4408696783","doi":"10.1109/itsc58415.2024.10919698","title":"Flight Path Optimization with Optimal Control Method","year":2024,"lang":"en","type":"article","venue":"","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Path (computing); Computer science; Control (management); Optimal control; Mathematical optimization; Mathematics; Artificial intelligence; Computer network","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":[0.0008000985,0.001262326,0.001173456,0.0007348386,0.0003631844,0.000783656,0.0008142211,0.001075448,0.004252424],"category_scores_gemma":[0.001570575,0.0004399161,0.0006133518,0.0005928201,0.0007406072,0.0005399743,0.0008841847,0.001066832,0.0004749923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007227427,"about_ca_system_score_gemma":0.001663941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008498983,"about_ca_topic_score_gemma":0.003440931,"domain_scores_codex":[0.9994503,0.0002264879,0.00001867771,0.00008297641,0.000166825,0.00005475829],"domain_scores_gemma":[0.9995826,0.0002579308,0.00003728198,0.00001994803,0.0000870766,0.00001513066],"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":[0.00002080186,0.00001360593,0.00005413126,0.00005875601,0.0000118098,0.00001535343,0.00001525241,0.9737916,0.0003884939,0.01260164,0.0005255067,0.01250309],"study_design_scores_gemma":[0.000007394538,0.00001524083,0.00002565901,0.000005737224,0.000002589143,0.000003815381,0.000002704734,0.9958449,0.0001038356,0.003147341,0.0008378383,0.000003018025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002116238,0.0003191749,0.9914623,0.0001097363,0.00005999436,0.00005973283,0.00004518159,0.000144876,0.005682766],"genre_scores_gemma":[0.5367809,0.001003209,0.4470339,0.0002583481,0.0002057585,0.001074474,0.0003310149,0.0002521836,0.01306017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008498983,"threshold_uncertainty_score":0.01689905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001980598226972714,"score_gpt":0.1770216877411218,"score_spread":0.175041089514149,"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."}}