{"id":"W2908047974","doi":"10.1080/03155986.2018.1554935","title":"Preface: data envelopment analysis","year":2018,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Envelopment; Computer science; Statistics; Mathematics","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":[0.0041013,0.001464861,0.001086247,0.003602492,0.001629487,0.003233689,0.001170374,0.001911075,0.07067105],"category_scores_gemma":[0.02860505,0.0004825152,0.001126791,0.004117669,0.001074435,0.003818356,0.001688455,0.006264865,0.04311086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00273652,"about_ca_system_score_gemma":0.002260339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004328466,"about_ca_topic_score_gemma":0.00220609,"domain_scores_codex":[0.9982815,0.0004227072,0.0002228235,0.0002703072,0.0007415813,0.00006116126],"domain_scores_gemma":[0.9820229,0.006386464,0.0006046828,0.001131198,0.009288884,0.0005659283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002828699,0.00003031916,0.0001778406,0.0006203222,0.00001427451,0.00009484071,0.0001398105,0.001440113,0.0003731624,0.02699574,0.881299,0.08878627],"study_design_scores_gemma":[0.00000769528,0.00003496821,0.0008503323,0.0008583511,0.000007216882,0.0001407716,0.00009047549,0.0009178632,0.0002692697,0.03493716,0.9618567,0.00002928055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.002584034,0.1353427,0.1668884,0.1378913,0.3270647,0.001064467,0.01561848,0.001788454,0.2117575],"genre_scores_gemma":[0.05106251,0.173989,0.07617201,0.04107639,0.2653793,0.001365847,0.02085189,0.002756778,0.3673463],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07067105,"threshold_uncertainty_score":0.2364182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3263626580127388,"score_gpt":0.5046266606287213,"score_spread":0.1782640026159825,"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."}}