{"id":"W4402781973","doi":"10.1016/j.seps.2024.102080","title":"Assessing airline efficiency with a network DEA model: A Z-number approach with shared resources, undesirable outputs, and negative data","year":2024,"lang":"en","type":"article","venue":"Socio-Economic Planning Sciences","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Operations research; Computer science; Econometrics; Mathematics","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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01025171,0.0004321876,0.0006907898,0.0004195753,0.001828216,0.006397807,0.002590715,0.0001384478,0.00005642454],"category_scores_gemma":[0.0004344587,0.0002734611,0.00007938943,0.002229315,0.002326347,0.003568437,0.0006176406,0.0004628007,0.00007923731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001806553,"about_ca_system_score_gemma":0.00121604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002300663,"about_ca_topic_score_gemma":0.00006223808,"domain_scores_codex":[0.9940448,0.0003144146,0.0008188786,0.002529289,0.001362261,0.0009302968],"domain_scores_gemma":[0.9955523,0.002587199,0.0004529688,0.001070375,0.0001119539,0.0002251861],"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":[0.00003418974,0.00004039187,0.03662528,0.00001870723,0.00008300423,0.00002722157,0.005303968,0.9492862,0.00000904617,0.003046513,0.003942855,0.001582581],"study_design_scores_gemma":[0.0002680159,0.0001014041,0.001450856,0.0002772716,0.00009849096,0.00008659909,0.01093637,0.978425,0.000003685288,0.006973102,0.0009122465,0.0004669651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7194693,0.002120577,0.2551473,0.001227767,0.0002226094,0.0003405891,0.00009498276,0.0002950724,0.02108175],"genre_scores_gemma":[0.929773,0.000009674335,0.06888953,0.0002039999,0.0001863368,0.00001316681,0.00002765294,0.00003275384,0.0008638485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2103037,"threshold_uncertainty_score":0.9999717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1854058367474113,"score_gpt":0.403075264362614,"score_spread":0.2176694276152027,"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."}}