{"id":"W2794210315","doi":"10.1155/2018/7905140","title":"Trajectory Specification Language for Air Traffic Control","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"XML; Computer science; Trajectory; Bounding overwatch; Position (finance); Programming language; Syntax; Specification language; Function (biology); Real-time computing; Air traffic control; Operating system; Engineering; Artificial intelligence; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002567758,0.001374494,0.0008674328,0.001343851,0.0009456655,0.003667465,0.00272104,0.00154497,0.01711909],"category_scores_gemma":[0.004557173,0.000707847,0.001501942,0.002082932,0.001207867,0.003693929,0.001654016,0.003606257,0.01103628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773311,"about_ca_system_score_gemma":0.003816435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007069533,"about_ca_topic_score_gemma":0.004732086,"domain_scores_codex":[0.9968067,0.0007670872,0.0006644398,0.000392164,0.001152297,0.0002172975],"domain_scores_gemma":[0.9974747,0.0008134728,0.0002026088,0.0004600169,0.0009625283,0.00008656395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008558538,0.00007199826,0.000359923,0.0007192521,0.00003604604,0.0003830991,0.000545424,0.01972445,0.005223429,0.7839241,0.08654314,0.1023837],"study_design_scores_gemma":[0.00006135835,0.0000660009,0.0001707298,0.0003044098,0.00003335551,0.0004916664,0.0001423234,0.08707475,0.006391935,0.1331106,0.7720793,0.00007362511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007793282,0.0004614556,0.9699129,0.0005916692,0.0002379465,0.0002602318,0.002876679,0.009955818,0.01492397],"genre_scores_gemma":[0.04932889,0.002123048,0.8804063,0.001613258,0.0004153332,0.002279005,0.02216487,0.005035293,0.03663409],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01711909,"threshold_uncertainty_score":0.05726904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005101863092389116,"score_gpt":0.2152593847950515,"score_spread":0.2101575217026624,"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."}}