{"id":"W4416191553","doi":"10.3846/aviation.2025.24893","title":"Airport complexity and environmental efficiency metrics for air traffic management evaluation","year":2025,"lang":"en","type":"article","venue":"Aviation","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Air traffic control; Fuel efficiency; Aviation; Civil aviation; Air pollution; Control (management); Air traffic management; Greenhouse gas","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001725078,0.001058012,0.0006150696,0.00221199,0.0002878455,0.001373013,0.0005178205,0.0005948637,0.003254432],"category_scores_gemma":[0.008250287,0.0001840948,0.0008152432,0.002139608,0.0003150555,0.001211699,0.0006676029,0.0007022601,0.0003850904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044243,"about_ca_system_score_gemma":0.0008037672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003913143,"about_ca_topic_score_gemma":0.004422743,"domain_scores_codex":[0.9986784,0.0004793664,0.0001068798,0.0001193374,0.0005177145,0.00009817784],"domain_scores_gemma":[0.9964659,0.00221529,0.0003610917,0.000225066,0.0006352987,0.00009729242],"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":[0.000258836,0.0003631624,0.02012843,0.0003913715,0.0001743837,0.00009241836,0.00008323108,0.8629115,0.005098378,0.01096501,0.003784423,0.09574883],"study_design_scores_gemma":[0.00001467296,0.0004697984,0.01995589,0.0000910708,0.00004663665,0.00008449076,0.0001416277,0.9679694,0.003565541,0.003660541,0.003965306,0.00003498892],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6218469,0.002721051,0.3354236,0.0004296791,0.0001983135,0.0007963355,0.006826954,0.001224182,0.03053312],"genre_scores_gemma":[0.912788,0.0005795396,0.0804828,0.00004177557,0.00002746605,0.0004841863,0.003510218,0.0001302232,0.001955919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003913143,"threshold_uncertainty_score":0.01088721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397242234287293,"score_gpt":0.2302124025050663,"score_spread":0.2162399801621934,"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."}}