{"id":"W2793810112","doi":"10.1155/2018/1601295","title":"A Novel Performance Framework and Methodology to Analyze the Impact of 4D Trajectory Based Operations in the Future Air Traffic Management System","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Interdependence; Air traffic management; Air traffic control; Trajectory; Computer science; Key (lock); Identification (biology); Transport engineering; Systems engineering; Operations research; Reliability engineering; Engineering; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004543757,0.00009729194,0.000157453,0.0001848658,0.00006542688,0.00001250387,0.0001293935,0.00004186074,0.000006165838],"category_scores_gemma":[0.000005267937,0.0000586623,0.00006462274,0.0004245595,0.00003043614,0.0001773291,9.655765e-7,0.0001381347,2.368797e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004485876,"about_ca_system_score_gemma":0.00001419419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002273497,"about_ca_topic_score_gemma":0.000125443,"domain_scores_codex":[0.9992763,0.00004388586,0.0003629473,0.00007031028,0.0001458802,0.0001006344],"domain_scores_gemma":[0.9996403,0.00006927981,0.00008280209,0.0001046676,0.00007840451,0.00002450998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00008715659,0.00002353254,0.0002320813,0.00009683294,0.00005150811,0.000001787604,0.003810487,0.9874129,0.0001874294,0.0004456448,0.00001588896,0.007634779],"study_design_scores_gemma":[0.0009630498,0.0004579127,0.5451806,0.0002477209,0.0001387982,0.000006105762,0.007314602,0.4453032,0.0001313962,0.00001158116,0.0001185247,0.0001265194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5823116,0.00008003657,0.4171658,0.0001006989,0.0001270752,0.0001789391,0.000002849592,0.00001034756,0.00002263564],"genre_scores_gemma":[0.8800244,0.00008132649,0.1197319,0.00003329731,0.0001036027,0.00000931979,0.000005511014,0.000008991595,0.000001557651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5449485,"threshold_uncertainty_score":0.2392179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316748770740466,"score_gpt":0.2698553620551029,"score_spread":0.2566878743476982,"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."}}