{"id":"W2145939738","doi":"10.1007/s11123-007-0050-x","title":"DEA-R: ratio-based comparative efficiency model, its mathematical relation to DEA and its use in applications","year":2007,"lang":"en","type":"article","venue":"Journal of Productivity Analysis","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Data envelopment analysis; Relation (database); Key (lock); Econometrics; Computer science; Mathematics; Mathematical optimization; Data mining","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":[0.009503556,0.001572044,0.002254402,0.003209844,0.0007211685,0.003602,0.003321162,0.001730338,0.003817746],"category_scores_gemma":[0.02128603,0.000536589,0.002536338,0.006054643,0.001724822,0.005625406,0.002252239,0.002884947,0.0009679912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002457784,"about_ca_system_score_gemma":0.002045695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001682379,"about_ca_topic_score_gemma":0.001061682,"domain_scores_codex":[0.9934874,0.003517768,0.0003922328,0.0009540656,0.001426157,0.0002223508],"domain_scores_gemma":[0.9911697,0.006241664,0.0007427592,0.0007838867,0.0009376417,0.000124374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009242756,0.0001124204,0.001175587,0.0004508189,0.0001784778,0.00007950555,0.0001562125,0.1845459,0.001601267,0.6904243,0.002319804,0.1188632],"study_design_scores_gemma":[0.00003066251,0.0002011799,0.001229272,0.00009814474,0.0001168056,0.0003548706,0.00005969175,0.5543905,0.002970965,0.4270516,0.0134066,0.00008977471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003406778,0.001364284,0.9905089,0.0001928152,0.00005261028,0.00004960331,0.0001060275,0.0001131901,0.004205749],"genre_scores_gemma":[0.3501792,0.00347127,0.6391786,0.0002305089,0.0002613525,0.0006390191,0.0004026227,0.0001973086,0.005440164],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009503556,"threshold_uncertainty_score":0.05026025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1613532486828165,"score_gpt":0.4187129743197834,"score_spread":0.2573597256369669,"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."}}