{"id":"W2104349273","doi":"10.5430/bmr.v2n4p116","title":"Efficiency of the Middle East Banking Sector –A Non Parametric Approach: A Comparative Analysis between Islamic and Conventional Banks","year":2013,"lang":"en","type":"article","venue":"Business and Management Research","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Islam; Islamic banking; Data envelopment analysis; Middle East; Parametric statistics; Financial system; Business; Economics; Monetary economics; Econometrics; Statistics; Mathematics; Geography","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":[0.002105531,0.0001306051,0.0002643296,0.001383405,0.0001761729,0.001334478,0.0002041309,0.0003246366,0.001630727],"category_scores_gemma":[0.004981504,0.0001050687,0.0004689439,0.001436626,0.0005901499,0.001124808,0.0005682416,0.0002554617,0.0002134274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006973675,"about_ca_system_score_gemma":0.0004760875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854607,"about_ca_topic_score_gemma":0.001653194,"domain_scores_codex":[0.9986929,0.0004620924,0.000131082,0.0001313151,0.0003906905,0.0001918396],"domain_scores_gemma":[0.9953017,0.002511607,0.001134382,0.0003302913,0.0006195065,0.000102473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005089336,0.0002660856,0.8612329,0.0001521941,0.0003758051,0.0004361022,0.002046565,0.04085841,0.003660316,0.02549998,0.0006377178,0.06432493],"study_design_scores_gemma":[0.00001205555,0.000250678,0.9640705,0.00004166067,0.00005477998,0.0001785702,0.002626155,0.02723287,0.001176155,0.002988535,0.001349589,0.00001835868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963876,0.0001310902,0.001425029,0.00005779118,0.000001378073,0.000006886989,0.00006030781,0.000002717784,0.001927162],"genre_scores_gemma":[0.999522,0.00003966249,0.0001589186,0.000004937718,0.000002029203,0.000003231062,0.00004727295,6.562022e-7,0.000221331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002105531,"threshold_uncertainty_score":0.01113528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2893612711259395,"score_gpt":0.3982218140859912,"score_spread":0.1088605429600517,"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."}}