{"id":"W4224981854","doi":"10.18280/mmep.090212","title":"A Novel Gibbs Entropy Model Based upon Cross-Efficiency Measurement for Ranking Decision Making Units","year":2022,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Viewpoints; Ranking (information retrieval); Data envelopment analysis; Entropy (arrow of time); Computer science; Mathematical optimization; Decision model; Pairwise comparison; Data mining; Econometrics; Mathematics; Machine learning; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009177432,0.000321545,0.0005420491,0.0005664604,0.000825932,0.0005434614,0.0007362703,0.0000833826,0.0000521937],"category_scores_gemma":[0.002422454,0.0002723923,0.0001981017,0.001285368,0.00005244122,0.0001712555,0.0002415705,0.0003375714,0.000007178788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00018911,"about_ca_system_score_gemma":0.0001259896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003306798,"about_ca_topic_score_gemma":6.738788e-7,"domain_scores_codex":[0.9945555,0.00005279471,0.001165444,0.0008237634,0.002769816,0.0006326551],"domain_scores_gemma":[0.9966661,0.001801761,0.0002368587,0.0006066215,0.000545611,0.0001430744],"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":[0.00003749467,0.0001648366,0.000008629311,0.0001006944,0.00001568274,0.000001000366,0.0006314944,0.9829323,0.001807483,0.01295745,0.00001892161,0.001324007],"study_design_scores_gemma":[0.0006171673,0.00007524871,0.000002021005,0.0002219261,0.00004467358,0.00001022392,0.00004577156,0.9408175,0.00009697531,0.05743168,0.000324231,0.0003125785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06511738,0.0002517237,0.933678,0.0001075481,0.0001507233,0.000459113,0.0000208191,0.0001451621,0.00006952845],"genre_scores_gemma":[0.769114,0.000001614453,0.2305358,0.00004565117,0.00002433605,0.0001948227,0.000002266981,0.00004087261,0.00004070113],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7039966,"threshold_uncertainty_score":0.9999728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1453301277466091,"score_gpt":0.3303051264128458,"score_spread":0.1849749986662367,"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."}}