{"id":"W2246863009","doi":"","title":"THE AIRPORT MACHINE: BWI AIRSIDE CAPACITY EVALUATION","year":2001,"lang":"en","type":"article","venue":"Transportation research circular","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Aviation; Presentation (obstetrics); International airport; Air traffic control; Engineering; Aeronautics; Operations research; Computer science","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":[0.0007514428,0.000965033,0.0007730415,0.001136551,0.0004725142,0.001246278,0.000592096,0.0005739614,0.004839398],"category_scores_gemma":[0.001585061,0.0002023585,0.0004193328,0.001231714,0.0002212412,0.001185025,0.0004977517,0.0005661117,0.0007853867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734954,"about_ca_system_score_gemma":0.001257192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01983084,"about_ca_topic_score_gemma":0.01628572,"domain_scores_codex":[0.9991125,0.0002862427,0.00002170137,0.00008028874,0.0003992453,0.0001000365],"domain_scores_gemma":[0.9993584,0.0001400724,0.00004547029,0.00006389613,0.0003315717,0.00006056698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003398826,0.0001537995,0.008146629,0.0001494067,0.00005791052,0.0002111422,0.00004224442,0.9223601,0.005118195,0.003752848,0.007853035,0.05181484],"study_design_scores_gemma":[0.00003636385,0.0004891114,0.009089861,0.00006305547,0.00003843147,0.0001022181,0.0001571574,0.966783,0.01025037,0.001098745,0.01184332,0.00004837121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7615076,0.001406279,0.1148412,0.0006779298,0.0003095835,0.0006455668,0.008034772,0.001647936,0.1109292],"genre_scores_gemma":[0.975448,0.0004052557,0.01509884,0.00003405867,0.00002217582,0.0001262241,0.002760766,0.0001333236,0.005971329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01983084,"threshold_uncertainty_score":0.03943086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06017746224708831,"score_gpt":0.3067180933531755,"score_spread":0.2465406311060871,"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."}}