{"id":"W2995097341","doi":"10.2514/1.i010748","title":"New Adaptive Algorithm Development for Monitoring Aircraft Performance and Improving Flight Management System Predictions","year":2019,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Canada Research Chairs","keywords":"Flight simulator; Fly-by-wire; Flight management system; Crew; Cruise; Aerodynamics; Aircraft flight mechanics; Reliability (semiconductor); Computer science; Simulation; Engineering; Algorithm; Aerospace engineering; Aeronautics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003252171,0.0001338732,0.0001935969,0.0002369153,0.00009254632,0.0001559498,0.00009711698,0.00005733009,0.000001680699],"category_scores_gemma":[0.000002065666,0.0001225591,0.00003785278,0.00013234,0.000004069166,0.001778864,0.00002270828,0.00009039634,0.00001641279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002536661,"about_ca_system_score_gemma":0.000026534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002249177,"about_ca_topic_score_gemma":1.876847e-7,"domain_scores_codex":[0.9988788,0.000006947936,0.0006094187,0.00005634655,0.000287875,0.0001606597],"domain_scores_gemma":[0.9993397,0.00001753769,0.0003087714,0.00008684098,0.000164985,0.00008216195],"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":[0.00002138897,0.000003794827,0.0008701829,0.001225422,0.0001729853,4.916388e-7,0.001534996,0.9157018,0.000007111847,0.0002786469,0.001444024,0.07873916],"study_design_scores_gemma":[0.0009848708,0.0001006275,0.001604791,0.0006137692,0.00004396752,0.0000233433,0.00604029,0.9685575,0.0001387952,2.368502e-7,0.02173859,0.0001532311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01546135,0.0001498185,0.9788861,0.000009710711,0.002352137,0.000697519,0.000002524498,0.0001207826,0.002320039],"genre_scores_gemma":[0.8649523,0.000102164,0.1337335,0.000002887972,0.0002646953,0.00003011197,0.000006628035,0.00001774771,0.0008900333],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8494909,"threshold_uncertainty_score":0.4997814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005272257885015783,"score_gpt":0.1752661564817312,"score_spread":0.1699938985967154,"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."}}