{"id":"W3193986792","doi":"","title":"Introduction to Air Traffic Management Systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Seneca Polytechnic","funders":"","keywords":"Air traffic control; Computer science; Transport engineering; Engineering; Aerospace 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004359376,0.00007886733,0.0000618952,0.0001153509,0.00002757734,0.00002637689,0.00006419895,0.00002116842,0.0006905005],"category_scores_gemma":[0.000001009136,0.00007813606,0.00001662543,0.0002195181,0.000003099052,0.00008581562,0.00001122064,0.00002804217,0.0009984599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003896568,"about_ca_system_score_gemma":1.304924e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.542321e-7,"about_ca_topic_score_gemma":0.000001532994,"domain_scores_codex":[0.9995347,0.000004686909,0.0001118651,0.0001221506,0.00009535941,0.0001312428],"domain_scores_gemma":[0.9997993,0.000002193396,0.000005862689,0.0001445405,0.000009132672,0.00003902693],"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":[4.360669e-7,0.000007187053,8.700756e-7,0.00003762801,0.00001458236,8.370524e-7,0.00004337923,0.6821979,0.000001822899,0.001828533,0.3021828,0.01368402],"study_design_scores_gemma":[0.00007763995,0.000009684501,0.00003663727,0.000004036019,0.000008792419,5.659484e-7,0.000101109,0.7199322,0.000008122282,6.840646e-7,0.2797363,0.0000842524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01717665,0.0002754672,0.4987965,0.002900207,0.003336418,0.001075037,0.000001066087,0.003667871,0.4727708],"genre_scores_gemma":[0.9533274,0.0001157934,0.003725911,0.00006929605,0.0006321316,0.00004595693,0.000008404158,0.00002354121,0.04205155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9361508,"threshold_uncertainty_score":0.9997794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006107599688093562,"score_gpt":0.1628921019315021,"score_spread":0.1567845022434086,"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."}}