{"id":"W2006968381","doi":"10.1080/00036840701493741","title":"Using panel data analysis to estimate confidence intervals for the DEA efficiency of individual decision making units","year":2007,"lang":"en","type":"article","venue":"Applied Economics","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Panel data; Econometrics; Confidence interval; Benchmark (surveying); Interval data; Statistics; Economics; Computer science; Operations research; Mathematics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03838467,0.001143549,0.001616858,0.005161073,0.0008784528,0.00264964,0.001535102,0.001255696,0.003714583],"category_scores_gemma":[0.1720543,0.0004392919,0.002501895,0.005564429,0.000707666,0.002330477,0.002167072,0.003407292,0.0005973855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260103,"about_ca_system_score_gemma":0.0009475121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008287377,"about_ca_topic_score_gemma":0.003390574,"domain_scores_codex":[0.9738992,0.01697554,0.001317214,0.002983969,0.00417645,0.0006475127],"domain_scores_gemma":[0.7325568,0.2269883,0.01280883,0.01753182,0.009708812,0.0004054271],"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":[0.0008436817,0.0003510876,0.1478668,0.0004794204,0.004860409,0.0003238182,0.001626506,0.4170862,0.002100611,0.1064591,0.006358907,0.3116435],"study_design_scores_gemma":[0.0001035044,0.000515704,0.08462851,0.0003001489,0.000626526,0.0003069291,0.001111078,0.7825547,0.007456308,0.1077539,0.01432714,0.0003155294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07640906,0.0003555121,0.9153908,0.000210506,0.00006286296,0.0002413836,0.002019663,0.0003939873,0.004916186],"genre_scores_gemma":[0.7915434,0.0003306676,0.2010505,0.0001239195,0.00006194446,0.0008780342,0.004821269,0.0001229817,0.001067358],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03838467,"threshold_uncertainty_score":0.203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3247753949618255,"score_gpt":0.4596461088348569,"score_spread":0.1348707138730314,"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."}}