{"id":"W73174547","doi":"","title":"A Study of Various Technique’s for Measuring Banking Efficiency – A Significant Look at Data Envelopment Analysis","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Data envelopment analysis; Profitability index; Market liquidity; Leverage (statistics); Ranking (information retrieval); Financial ratio; Measure (data warehouse); Profit (economics); Business; Computer science; Economics; Industrial organization; Operations research; Econometrics; Finance; Engineering; Microeconomics; Mathematics; Statistics; 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":[0.01619447,0.001548698,0.001684696,0.01079779,0.000757307,0.005587479,0.001143399,0.001563241,0.001476977],"category_scores_gemma":[0.0420188,0.0007258021,0.003110179,0.02075702,0.001868701,0.006107401,0.001596228,0.002687679,0.0005313172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002988923,"about_ca_system_score_gemma":0.001853436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002041346,"about_ca_topic_score_gemma":0.001182009,"domain_scores_codex":[0.9789004,0.009290351,0.001735193,0.001194919,0.008392772,0.0004863303],"domain_scores_gemma":[0.96637,0.02329712,0.002335522,0.002368155,0.005495953,0.0001331595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001504549,0.0002309539,0.01349783,0.002562479,0.0005671704,0.0002012078,0.001083823,0.07579532,0.00517807,0.3455754,0.002813241,0.5523441],"study_design_scores_gemma":[0.00006074845,0.001170643,0.03237481,0.004321614,0.0005287043,0.00198347,0.005705478,0.4661497,0.05283335,0.2778527,0.156378,0.0006406999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03350336,0.02150504,0.9222348,0.00164528,0.0002242665,0.0002752079,0.0003051345,0.0001474944,0.02015945],"genre_scores_gemma":[0.3645928,0.02615998,0.6042632,0.0002881696,0.0001719751,0.0005586644,0.0003953594,0.0001587948,0.003411156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01619447,"threshold_uncertainty_score":0.08564556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085979405588882,"score_gpt":0.3695771231035763,"score_spread":0.2609791825446881,"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."}}