{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005008616,0.0007003223,0.0006272189,0.00520121,0.002483616,0.005441749,0.002157716,0.0008058103,0.004985921],"category_scores_gemma":[0.01465261,0.0009893827,0.0008315413,0.003703345,0.001137292,0.00564071,0.003590119,0.002150242,0.003009252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003894353,"about_ca_system_score_gemma":0.01089464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0367668,"about_ca_topic_score_gemma":0.03548157,"domain_scores_codex":[0.9976408,0.0006540319,0.0002270822,0.0004238345,0.0007871921,0.0002670935],"domain_scores_gemma":[0.9896199,0.001762821,0.0007053582,0.002467026,0.004837587,0.0006073252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003043123,0.0009882295,0.01796434,0.0002204284,0.00009452284,0.00043234,0.003212884,0.2702788,0.01917244,0.2257594,0.05487509,0.4066971],"study_design_scores_gemma":[0.00005667551,0.0001286265,0.00629888,0.0001623788,0.00003572721,0.0001234111,0.0009525671,0.7700134,0.009499584,0.07979851,0.1327845,0.0001457643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04525128,0.0001133616,0.9074937,0.003058245,0.0002434223,0.001028938,0.002348239,0.009070259,0.03139258],"genre_scores_gemma":[0.1453468,0.0001274693,0.8440515,0.0002117122,0.0001886642,0.0004980824,0.003470453,0.0007789099,0.005326367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0367668,"threshold_uncertainty_score":0.07310557,"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."}}