{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001188063,0.0001435086,0.0001549694,0.00005325571,0.00002085778,0.00009691661,0.00005868763,0.00005790907,0.00008079782],"category_scores_gemma":[0.000003493556,0.0001039063,0.00003898653,0.0001574933,0.000005560071,0.0001186867,0.000003567353,0.0001080234,0.00005203168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003836511,"about_ca_system_score_gemma":0.0000105762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008080367,"about_ca_topic_score_gemma":0.000001449371,"domain_scores_codex":[0.9994283,0.00001303163,0.0001153921,0.0001415271,0.0001125888,0.000189192],"domain_scores_gemma":[0.9997378,0.00004964124,0.000005191505,0.0001276795,0.00001793787,0.00006174555],"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":[0.000004422474,0.000002200778,0.000008909952,0.00005722657,0.00008989335,0.00001501328,0.00007121707,0.9952831,0.0006692036,0.001471667,0.0012213,0.001105811],"study_design_scores_gemma":[0.0002988344,0.00003405058,0.00001146123,0.00005602482,0.00003013898,0.00002425877,0.00003147211,0.9915611,0.0002734456,0.000002035038,0.007518329,0.0001588458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000381239,0.001229567,0.9877252,0.00009849758,0.0003898287,0.0001366216,0.000005157141,0.001950539,0.008083354],"genre_scores_gemma":[0.9124863,0.00001533034,0.08556257,0.00001699461,0.0001912608,0.00005310568,0.000004765106,0.00006117242,0.001608529],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.912105,"threshold_uncertainty_score":0.4237178,"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."}}