{"id":"W4297769675","doi":"10.5267/j.dsl.2022.8.002","title":"Determinants of efficiency of Indonesian Islamic rural banks","year":2022,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Inefficiency; Revenue; Inflation (cosmology); Economics; Indonesian; Econometrics; Business; Accounting; Statistics; Mathematics; Microeconomics","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":[0.001774521,0.0001842898,0.0002630567,0.001007099,0.0003318261,0.002035961,0.0002134955,0.0003150408,0.002954971],"category_scores_gemma":[0.006941471,0.0001601622,0.0001905363,0.001323727,0.0006995848,0.000803835,0.0004887012,0.0003750149,0.0005502515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008650384,"about_ca_system_score_gemma":0.0007277671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002715843,"about_ca_topic_score_gemma":0.00287795,"domain_scores_codex":[0.9984598,0.0005806552,0.0001479689,0.0001387795,0.0003745865,0.0002982417],"domain_scores_gemma":[0.9894137,0.004009956,0.004075983,0.0003872985,0.00149173,0.0006212429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001523436,0.0003156253,0.9504262,0.00005677667,0.0001082528,0.0003969132,0.0009282125,0.01303196,0.001646626,0.005823326,0.001084694,0.02602904],"study_design_scores_gemma":[0.00001240483,0.0001050881,0.9829147,0.00003578786,0.00002539172,0.0002608137,0.002507853,0.00994259,0.0005619758,0.002082021,0.001536818,0.00001445136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953703,0.00007981291,0.0005590413,0.0001927955,0.000001439194,0.00001186207,0.00006604077,0.000005459942,0.003713221],"genre_scores_gemma":[0.9993531,0.00004600608,0.000140985,0.000009465812,0.000002480367,0.000002892333,0.00003311192,0.000001259784,0.0004107868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002954971,"threshold_uncertainty_score":0.009885311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061787876480003,"score_gpt":0.2452850947482284,"score_spread":0.2346672159834284,"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."}}