{"id":"W2979460476","doi":"10.1007/s10479-019-03411-y","title":"Number of performance measures versus number of decision making units in DEA","year":2019,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Data envelopment analysis; Efficiency; Power (physics); Rank (graph theory); Theory of computation; Computer science; Rule of thumb; Statistics; Quality (philosophy); Mathematical optimization; Unit (ring theory); Econometrics; Mathematics; Algorithm","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":[0.01597659,0.0007962943,0.001835001,0.001553682,0.0006247614,0.002239299,0.001216492,0.000844739,0.002490257],"category_scores_gemma":[0.06799472,0.000416593,0.001220908,0.002684467,0.0008194934,0.003290869,0.001345906,0.001617528,0.000355018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171598,"about_ca_system_score_gemma":0.001530074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280627,"about_ca_topic_score_gemma":0.001313555,"domain_scores_codex":[0.9825067,0.01084638,0.001639427,0.001236685,0.003000794,0.0007700269],"domain_scores_gemma":[0.8742169,0.1056317,0.004915383,0.008243589,0.006116156,0.0008762631],"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":[0.005313682,0.001560964,0.04388455,0.0005273314,0.0006546789,0.0001606637,0.0003540641,0.5312495,0.007244918,0.02691515,0.0007790068,0.3813555],"study_design_scores_gemma":[0.0001780398,0.002230203,0.03754797,0.0001010105,0.000339613,0.0002982715,0.0004430251,0.9178097,0.01688755,0.02172676,0.002335325,0.0001026056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6664348,0.000820393,0.3246374,0.0002636771,0.0001377642,0.0003667405,0.0004534012,0.0002855662,0.006600155],"genre_scores_gemma":[0.8503219,0.0001507242,0.1475377,0.00003549776,0.00004032541,0.0003785731,0.0002574617,0.00003294574,0.001244862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01597659,"threshold_uncertainty_score":0.08449328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4701715564610774,"score_gpt":0.5709311294462142,"score_spread":0.1007595729851368,"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."}}