{"id":"W2986507111","doi":"10.1145/3357000.3366144","title":"Online Stochastic Prediction of Mid-Flight Aircraft Trajectories","year":2019,"lang":"en","type":"article","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; DSO National Laboratories - Singapore","keywords":"Trajectory; Air traffic control; Computer science; Aviation; Baseline (sea); Markov chain; Air traffic management; Function (biology); Markov process; Aerospace engineering; Engineering; Machine learning; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00002565069,0.0000638945,0.0000813942,0.00005829658,0.000008141358,0.000004946613,0.00004674156,0.00003329784,0.0005186055],"category_scores_gemma":[0.000003216111,0.00005876393,0.00002289992,0.0001072097,0.000007595463,0.00009734655,0.000007223012,0.00003426612,0.00002697802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001322111,"about_ca_system_score_gemma":0.000002958863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002750324,"about_ca_topic_score_gemma":0.00001110571,"domain_scores_codex":[0.9996415,0.000002999178,0.0001254495,0.00006695907,0.00008602202,0.00007708851],"domain_scores_gemma":[0.9998445,0.00001217792,0.00001301335,0.0000950575,0.00001924953,0.00001602539],"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":[0.000004200949,0.00002923348,0.0006348714,0.000104405,0.00002822171,1.10826e-7,0.0001169525,0.995566,0.0005895548,0.0006243351,0.001562857,0.000739251],"study_design_scores_gemma":[0.0003452704,0.00005304759,0.004764337,0.00002149103,0.00001934767,2.901769e-7,0.0001337496,0.9914663,0.0012358,0.00002889186,0.00184501,0.00008648495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4530134,0.00008474472,0.5243869,0.00004913948,0.001011975,0.0003082917,0.00002820982,0.0007144276,0.0204029],"genre_scores_gemma":[0.9942708,0.00001163848,0.001848723,0.000006971962,0.000051166,0.000002496578,0.00006287084,0.0000125004,0.003732849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5412574,"threshold_uncertainty_score":0.5678367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006277320277079196,"score_gpt":0.1811584113244165,"score_spread":0.1748810910473373,"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."}}