{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006172198,0.0006363177,0.0005271771,0.0005910689,0.0003366676,0.001087039,0.0004432406,0.0005071752,0.006149287],"category_scores_gemma":[0.001336122,0.0003774257,0.0006564845,0.0008771678,0.0004907664,0.0005132104,0.0006462522,0.0009216469,0.0008596076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152069,"about_ca_system_score_gemma":0.001513755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01681422,"about_ca_topic_score_gemma":0.01108309,"domain_scores_codex":[0.9996951,0.000122679,0.00001066622,0.00003627847,0.00009140862,0.00004382079],"domain_scores_gemma":[0.9995368,0.0002608219,0.00006175986,0.00003138596,0.00007883313,0.00003047955],"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":[0.00001420799,0.00001404662,0.0001764363,0.00003330304,0.000005776315,0.0000263555,0.00001187155,0.9772853,0.0001847155,0.01123098,0.001979518,0.009037548],"study_design_scores_gemma":[0.000006308648,0.000005021037,0.00008050477,0.000008047587,0.000002122273,0.000005237889,0.00000776421,0.9926038,0.0001444491,0.005809923,0.001324197,0.000002553428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02233996,0.0005463163,0.941226,0.0006006226,0.00007063938,0.0001327475,0.001257944,0.0004506723,0.03337516],"genre_scores_gemma":[0.5078428,0.000974687,0.4774261,0.0001259862,0.00007583754,0.0003750407,0.001932011,0.0003398304,0.01090779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01681422,"threshold_uncertainty_score":0.03343272,"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."}}