{"id":"W4396926167","doi":"10.3390/computation12050098","title":"An Optimization Model for Flight Rescheduling from an Airport’s Centralized Perspective for Better Management of Demand and Capacity Utilization","year":2024,"lang":"en","type":"article","venue":"Computation","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Perspective (graphical); Operations research; Capacity management; On demand; Demand management; Computer science; Operations management; Business; Engineering; Economics; Computer network; Artificial intelligence; Commerce","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001129638,0.0001087816,0.0001097432,0.0001003589,0.00006046621,0.00007653076,0.00004387813,0.00005475105,0.000004052766],"category_scores_gemma":[0.000003328357,0.0001198569,0.00003007175,0.0001002466,0.00001434308,0.0004552122,0.000006733729,0.00002771224,1.746456e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005548141,"about_ca_system_score_gemma":0.00000497092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004437484,"about_ca_topic_score_gemma":0.000006463398,"domain_scores_codex":[0.9993706,0.0000137396,0.0001983739,0.0002300743,0.00008317611,0.0001040389],"domain_scores_gemma":[0.9997293,0.00002644082,0.00003539669,0.00007724678,0.00009740714,0.00003417974],"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":[0.00002882357,0.00002080153,0.00001571784,0.0003200535,0.00006947859,2.095429e-7,0.001635068,0.9842018,0.0000530802,0.007847187,0.00007583373,0.005731948],"study_design_scores_gemma":[0.000517077,0.00004042431,0.0001700335,0.00007010398,0.000131566,1.0225e-7,0.0003274872,0.9929674,0.0001528994,0.005477026,0.00002036134,0.000125464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04672937,0.000183517,0.9517423,0.00006178534,0.00016286,0.0007400262,0.00004089244,0.0002471383,0.00009212947],"genre_scores_gemma":[0.6396568,0.00006459343,0.3594177,0.00001140125,0.00004364341,0.00004101054,0.0007314553,0.00002376041,0.000009616503],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5929275,"threshold_uncertainty_score":0.4887621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747672830858642,"score_gpt":0.2893218044449232,"score_spread":0.2518450761363368,"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."}}