{"id":"W4385236041","doi":"10.1016/j.energy.2023.128511","title":"Crossing non-parametric and parametric techniques for measuring the efficiency: Evidence from 65 European electricity Distribution System Operators","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Fundação para a Ciência e a Tecnologia; NECE - Research Center in Business Sciences, University of Beira Interior; Center for Research and Development in Mathematics and Applications","keywords":"Data envelopment analysis; Benchmarking; Electric power distribution; Econometrics; Stochastic frontier analysis; Electricity; Economics; Sample (material); Cost efficiency; Environmental economics; Computer science; Operations research; Production (economics); Engineering; Statistics; Microeconomics; 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":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01067192,0.0002477047,0.0004164189,0.0009784052,0.001626584,0.002047334,0.001348885,0.00009242715,0.000004890987],"category_scores_gemma":[0.01580481,0.0001586919,0.0001941216,0.01446475,0.000266782,0.0003517407,0.0003197215,0.0001795221,0.00006341398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120039,"about_ca_system_score_gemma":0.0001397627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008945862,"about_ca_topic_score_gemma":0.00004623205,"domain_scores_codex":[0.9952654,0.0007928909,0.000836383,0.0009565784,0.001607308,0.0005414424],"domain_scores_gemma":[0.9908831,0.007240387,0.000390804,0.0008655743,0.0004987279,0.0001214323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002741796,0.0004140695,0.06001325,0.0001234143,0.0003088864,0.0001526285,0.002996616,0.1120918,0.05028956,0.009268204,0.01822197,0.7458454],"study_design_scores_gemma":[0.0002787799,0.0001924311,0.04418323,0.0002979349,0.0001304451,0.00001077252,0.0005508279,0.870131,0.07384878,0.001071582,0.008717616,0.0005865687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6421378,0.0009385168,0.3559334,0.0001647384,0.0002135121,0.0001697961,0.0000251021,0.0002299071,0.000187232],"genre_scores_gemma":[0.9987517,0.00005685773,0.0006931664,0.00006318628,0.0001629502,0.00003791345,0.00001354463,0.0000248033,0.0001958528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7580392,"threshold_uncertainty_score":0.9996732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07216296891632368,"score_gpt":0.3374443498817044,"score_spread":0.2652813809653807,"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."}}