{"id":"W3031006202","doi":"10.1051/matecconf/202031402002","title":"Horizontal flight trajectory optimization considering RTA constraints","year":2020,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Consejo Nacional de Ciencia y Tecnología","keywords":"Trajectory; Constraint (computer-aided design); Fuel efficiency; Trajectory optimization; Particle swarm optimization; Computer science; Atmosphere (unit); Mathematical optimization; Environmental science; Automotive engineering; Engineering; Meteorology; Algorithm; Mathematics; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004537013,0.0001179525,0.0001725278,0.0000776756,0.00002656352,0.00003646013,0.0001109311,0.00004356083,0.001598363],"category_scores_gemma":[0.00001370197,0.0001192872,0.00003212606,0.0001524072,0.00008399199,0.0001228767,0.00001743901,0.00006121279,0.00001389972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008522488,"about_ca_system_score_gemma":0.00006099873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003390176,"about_ca_topic_score_gemma":0.00001491871,"domain_scores_codex":[0.9994,0.00001272145,0.0002227767,0.00011856,0.0001219178,0.0001240654],"domain_scores_gemma":[0.9997783,0.00002313239,0.00004421979,0.00006579408,0.00003486587,0.00005366544],"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":[0.00001138602,0.00001168464,0.00105327,0.0002244922,0.00006998471,0.000004717449,0.0003252285,0.9799003,0.001118185,0.0107325,0.001899569,0.004648706],"study_design_scores_gemma":[0.0003356252,0.00004561249,0.0001701667,0.00003950343,0.00002516854,7.018208e-7,0.0003248438,0.988887,0.005093749,0.00002145763,0.004875029,0.0001811852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09505988,0.0003249681,0.4053374,0.000666909,0.0007181893,0.0005407641,0.00003461984,0.001400538,0.4959167],"genre_scores_gemma":[0.9942337,0.00008304972,0.005530872,0.00003128297,0.0000441674,0.000005484167,0.00002489676,0.00001325024,0.00003328634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8991739,"threshold_uncertainty_score":0.9993143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638617347492457,"score_gpt":0.191734515501967,"score_spread":0.1753483420270424,"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."}}