{"id":"W2326769983","doi":"10.2514/6.2015-2599","title":"Trajectory Accuracy Sensitivity to Modeling Factors","year":2015,"lang":"en","type":"article","venue":"15th AIAA Aviation Technology, Integration, and Operations Conference","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Sensitivity (control systems); Trajectory; Computer science; Engineering; Physics; Electronic engineering","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":[0.006241428,0.001054682,0.0008300768,0.00170963,0.0006951433,0.001623156,0.0008502708,0.001129185,0.001112595],"category_scores_gemma":[0.04957185,0.0006882289,0.001202096,0.001664493,0.001159248,0.002162892,0.0011955,0.001662718,0.0001914826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001767077,"about_ca_system_score_gemma":0.0009809415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01445932,"about_ca_topic_score_gemma":0.005034045,"domain_scores_codex":[0.9954664,0.001402146,0.0002710043,0.000839581,0.001470188,0.0005507002],"domain_scores_gemma":[0.9370622,0.04989356,0.004139161,0.00528681,0.003322473,0.0002957867],"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":[0.00009319303,0.00002373762,0.01301491,0.00004037058,0.00005863519,0.00008302177,0.00003119703,0.980684,0.001317321,0.0007716905,0.0001259063,0.003756034],"study_design_scores_gemma":[0.000009362978,0.0001888266,0.02542862,0.00003537556,0.00007748901,0.0002196206,0.00006851195,0.961993,0.00976742,0.00158131,0.0005606176,0.00006976623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8959742,0.0009274278,0.09426045,0.0005121902,0.00007809669,0.0001637174,0.001577471,0.000767278,0.005739122],"genre_scores_gemma":[0.9960145,0.0001475864,0.002928683,0.00003001346,0.00001018323,0.00002653247,0.0005879167,0.00007473168,0.0001798448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01445932,"threshold_uncertainty_score":0.03300822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313142224653409,"score_gpt":0.2436422181906824,"score_spread":0.2123279957253414,"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."}}