{"id":"W2093165291","doi":"10.1007/s10287-014-0207-9","title":"An integrated approach based on DEA and AHP","year":2014,"lang":"en","type":"article","venue":"Computational Management Science","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Data envelopment analysis; Analytic hierarchy process; Ranking (information retrieval); Computer science; Set (abstract data type); Measure (data warehouse); Closeness; Parametric statistics; Range (aeronautics); Mathematical optimization; Operations research; Data mining; Mathematics; Statistics; Engineering; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.006929417,0.0001355271,0.0001600831,0.00107668,0.0005749599,0.0008406885,0.001324271,0.00002194704,0.00003497533],"category_scores_gemma":[0.0009664479,0.0001003987,0.00004002399,0.003397121,0.0007360463,0.0004755142,0.0001401123,0.00008287847,0.0001230904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005137772,"about_ca_system_score_gemma":0.0000560946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005007106,"about_ca_topic_score_gemma":0.000001176009,"domain_scores_codex":[0.9954649,0.0001936377,0.0003699885,0.0009684479,0.00274308,0.0002599267],"domain_scores_gemma":[0.9980875,0.0005823799,0.00014729,0.0005867812,0.0004358214,0.000160281],"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":[0.000006629823,0.0001211238,0.001524293,0.000002216694,0.000002253799,0.000001045448,0.00004553903,0.8681193,0.00001757647,0.0671813,0.0003090813,0.06266966],"study_design_scores_gemma":[0.0001756928,0.00007553177,0.06302428,0.000007136041,0.000007278867,8.745748e-7,0.0001456681,0.9084383,0.00001077176,0.02589453,0.0021018,0.0001181603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06686097,0.000003921604,0.9053206,0.0006161273,0.0001127198,0.0001331892,0.000001782739,0.00005815165,0.02689247],"genre_scores_gemma":[0.8752915,2.807452e-7,0.1228095,0.001700785,0.00001729301,0.000005812718,0.000007851811,0.000004508698,0.000162486],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8084305,"threshold_uncertainty_score":0.8106779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05031956571346831,"score_gpt":0.3570613784667813,"score_spread":0.306741812753313,"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."}}