{"id":"W560225423","doi":"","title":"Creating an Air Traffic Analytical Structure to Support Forecasting","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Air traffic control; Process (computing); Computer science; Operations research; Econometrics; Engineering; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002813465,0.0005681606,0.0005824422,0.001901317,0.000984319,0.0004432267,0.0008632369,0.0004003066,0.002342654],"category_scores_gemma":[0.0002641509,0.0005938868,0.0001904987,0.003315138,0.0004535385,0.002161643,0.00001881411,0.001736461,0.0002799252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601239,"about_ca_system_score_gemma":0.0001786592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719285,"about_ca_topic_score_gemma":0.008890166,"domain_scores_codex":[0.9912271,0.0005033507,0.001353039,0.001164935,0.003536238,0.002215285],"domain_scores_gemma":[0.9946197,0.0005602346,0.00009424149,0.0006544114,0.002802123,0.001269341],"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":[0.0002002449,0.0002201836,0.02087231,0.0006926922,0.0001564297,0.0001187671,0.01630833,0.9123355,0.001192367,0.001661777,0.02283391,0.02340749],"study_design_scores_gemma":[0.002081703,0.001884196,0.4601434,0.0004012864,0.00009430607,0.000001279627,0.02459127,0.4965702,0.001187124,0.0005368809,0.01091773,0.001590579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873685,0.00002862757,0.00341261,0.0007059968,0.0001935939,0.002759397,0.0002659943,0.0009745203,0.004290788],"genre_scores_gemma":[0.9874964,0.00004735462,0.00881231,0.00008814203,0.0003530082,0.000575933,0.001313381,0.000204253,0.001109221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4392711,"threshold_uncertainty_score":0.9996513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04878134907570539,"score_gpt":0.3330287024713633,"score_spread":0.2842473533956579,"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."}}