{"id":"W1804824228","doi":"10.1002/atr.175","title":"Airport taxi planning: Lagrangian decomposition","year":2011,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Planner; Decomposition; Operations research; Flow network; Computer science; Air traffic control; Transport engineering; Lagrangian; Flight planning; Engineering; Mathematical optimization; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007147867,0.00008077442,0.0001084198,0.0001287937,0.00002534072,0.000006189784,0.00006303887,0.0000364698,0.00005763023],"category_scores_gemma":[0.000001775659,0.00007983339,0.00006146199,0.0001154493,0.000008647999,0.0004872608,3.849798e-7,0.00008750689,0.000002966994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002085774,"about_ca_system_score_gemma":0.00000553746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.42626e-7,"about_ca_topic_score_gemma":0.000005453514,"domain_scores_codex":[0.9994037,0.000004814972,0.0003213513,0.00005009067,0.0001295229,0.00009057176],"domain_scores_gemma":[0.9997019,0.000006119922,0.00012996,0.00004877789,0.00006875358,0.0000445408],"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":[0.0000794983,0.00003110798,0.001935676,0.00004351578,0.00004563065,0.00004443263,0.002815385,0.9861042,0.0008711337,0.0003360147,0.0002374434,0.007455979],"study_design_scores_gemma":[0.003197047,0.0005671869,0.9592316,0.0003529253,0.0003337654,0.00002915022,0.002149242,0.01477174,0.0103853,0.001526072,0.00686009,0.0005959589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6460019,0.0002092299,0.3494948,0.0000185272,0.0006144847,0.0001009085,0.000002357938,0.0001056107,0.003452151],"genre_scores_gemma":[0.9665672,0.00009921977,0.0331892,0.00001391371,0.00006057506,0.000001691165,0.000031523,0.00001564725,0.00002101926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9713324,"threshold_uncertainty_score":0.3255511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111213241817542,"score_gpt":0.2248287595850854,"score_spread":0.2137074354033312,"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."}}