{"id":"W3082399064","doi":"10.1155/2020/2464869","title":"Infrastructure and Flight Consolidation Efficiency of Public and Private Brazilian International Airports: A Two-Stage DEA and Malmquist Index Approach","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Estadual de Campinas; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Civil aviation; Malmquist index; Aviation; Index (typography); Consolidation (business); Government (linguistics); Private sector; Air transport; Business; International airport; Air traffic control; Economics; Industrial organization; Transport engineering; Finance; Engineering; Productivity; Economic growth; Computer science; Total factor productivity","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":[0.004472196,0.0006284158,0.0009393435,0.002257182,0.0004426904,0.003557031,0.001370316,0.001155038,0.003348014],"category_scores_gemma":[0.009454089,0.0004312665,0.002592985,0.001651381,0.001329624,0.002642779,0.001452792,0.001412191,0.000265039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004500616,"about_ca_system_score_gemma":0.001679237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01218229,"about_ca_topic_score_gemma":0.008127541,"domain_scores_codex":[0.9979143,0.0007914627,0.0001157102,0.0003667527,0.000350134,0.0004616482],"domain_scores_gemma":[0.9921653,0.005065124,0.001264925,0.0004327219,0.000780254,0.0002915838],"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":[0.0004751803,0.0005798581,0.1316794,0.0003404794,0.0006716863,0.0005523222,0.001259604,0.5028619,0.003490904,0.3112431,0.002370077,0.04447556],"study_design_scores_gemma":[0.0000407099,0.0003167161,0.06879105,0.00009902516,0.000284003,0.0001922632,0.001241818,0.8843682,0.001468213,0.03848746,0.004640254,0.00007022626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8746927,0.001623739,0.1019096,0.0007040196,0.00003564239,0.0002453683,0.0006936791,0.00004672124,0.02004848],"genre_scores_gemma":[0.9925963,0.0002770387,0.004999037,0.00001812689,0.00001303931,0.00005973406,0.0002033837,0.00001095409,0.001822384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01218229,"threshold_uncertainty_score":0.0326544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764188419897076,"score_gpt":0.2320076717784704,"score_spread":0.2143657875794997,"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."}}