{"id":"W1541424402","doi":"10.1109/dasc.2004.1391293","title":"Use of aircraft derived data for more efficient ATM operations","year":2005,"lang":"en","type":"article","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air traffic control; Air traffic management; Workload; Service (business); Transport engineering; Operations research; Computer science; Work (physics); Controller (irrigation); Systems engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002376872,0.0008315052,0.0006351301,0.001764113,0.0004362003,0.003450263,0.001246576,0.0007907531,0.006777149],"category_scores_gemma":[0.009015315,0.0003846274,0.0005400106,0.002543026,0.0002608389,0.004883545,0.001414862,0.001594908,0.003444291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007633534,"about_ca_system_score_gemma":0.0008828604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004082954,"about_ca_topic_score_gemma":0.004808954,"domain_scores_codex":[0.9984733,0.0005489396,0.0001271881,0.0001971876,0.0005517862,0.0001015077],"domain_scores_gemma":[0.9950173,0.001236542,0.0005372665,0.001699201,0.001377188,0.000132493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001011048,0.0005209529,0.04013196,0.0007942466,0.0002532656,0.0002841088,0.0006403255,0.08851437,0.04792738,0.02451481,0.03723625,0.7581712],"study_design_scores_gemma":[0.0005747548,0.0006384025,0.08441357,0.001189479,0.0005438302,0.0006823638,0.001632056,0.5258224,0.08701821,0.04394744,0.2530262,0.0005113267],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2909186,0.003190119,0.5871547,0.01100484,0.001473577,0.0007519995,0.02902139,0.0134914,0.06299353],"genre_scores_gemma":[0.6873869,0.001650428,0.2879665,0.0006932248,0.0004931531,0.0001374058,0.01729074,0.0005818327,0.00379993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006777149,"threshold_uncertainty_score":0.02267176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04291963468449279,"score_gpt":0.2532372848449666,"score_spread":0.2103176501604738,"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."}}