{"id":"W2000614156","doi":"10.1177/0954410014561772","title":"New methods of optimization of the flight profiles for performance database-modeled aircraft","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Climb; Descent (aeronautics); Cruise; Fuel efficiency; Trajectory; Atmosphere (unit); Aviation; Aeronautics; Genetic algorithm; Aerospace engineering; Computer science; Flight management system; Environmental science; Flight simulator; Meteorology; Engineering; Geography","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":[0.000904559,0.0001891368,0.0004357555,0.0001546091,0.00003693138,0.000008706891,0.000494529,0.0001050863,0.000005921394],"category_scores_gemma":[0.0005515487,0.0001352479,0.0002268165,0.0004603786,0.00004187226,0.0003935147,0.0000702328,0.000205642,6.622501e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005009191,"about_ca_system_score_gemma":0.00004104264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001136429,"about_ca_topic_score_gemma":1.839977e-7,"domain_scores_codex":[0.9985484,0.000008275914,0.0007979586,0.0001026982,0.0003685483,0.0001740712],"domain_scores_gemma":[0.9987524,0.00008357006,0.0005517954,0.0001481261,0.0004013646,0.00006273141],"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":[0.00003557934,0.0000204944,0.00002589835,0.0009754172,0.00008897739,1.205607e-8,0.00008709333,0.9378945,0.04943506,0.01067222,0.0003307113,0.0004340156],"study_design_scores_gemma":[0.0004661572,0.00008160397,0.00002439025,0.0005918327,0.000102011,0.000002221569,0.00002651482,0.6628617,0.3353996,0.00001666594,0.0003437106,0.00008355162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03672218,0.0001266575,0.9617348,0.0001169216,0.0008257427,0.0003370699,0.000005322798,0.00003508993,0.00009622241],"genre_scores_gemma":[0.6585472,0.0001337511,0.3411652,0.000002755824,0.00009570549,0.000005237469,0.000001525121,0.00002341878,0.0000252376],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.621825,"threshold_uncertainty_score":0.5515248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009248387130702043,"score_gpt":0.2177601274105305,"score_spread":0.2085117402798284,"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."}}