{"id":"W2738793114","doi":"10.5539/ijef.v9n8p212","title":"The Study on the Operating Efficiency of Rural Banks Based on DEA Model: A Case of Jiangsu Province","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Science Foundation of Jiangsu Province; Nanjing University of Aeronautics and Astronautics; Nanjing University; Government of Jiangsu Province","keywords":"Earnings before interest and taxes; Yangtze river; Business; Net income; Profit (economics); Sample (material); Data envelopment analysis; Stock (firearms); Rural area; Finance; Economics; China; Geography; 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":[0.001495976,0.0004789323,0.0007345456,0.0009717617,0.0006879403,0.001624771,0.0006797684,0.0007458112,0.001424052],"category_scores_gemma":[0.002664148,0.0002942123,0.0008588097,0.001094018,0.0004977565,0.001007083,0.0006128191,0.0007366809,0.00007919625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002390848,"about_ca_system_score_gemma":0.001385756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05862711,"about_ca_topic_score_gemma":0.03105264,"domain_scores_codex":[0.9994074,0.0002742881,0.00002679473,0.00008499819,0.00007461794,0.0001319197],"domain_scores_gemma":[0.9983208,0.001090274,0.0002091621,0.00006150005,0.0002530681,0.00006520154],"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":[0.00009922875,0.0001247831,0.01961283,0.00006751594,0.00009895734,0.0008616035,0.0002250806,0.9503758,0.0007583348,0.01852282,0.0005229093,0.008730144],"study_design_scores_gemma":[0.000010016,0.00002891505,0.005086672,0.000008959891,0.00002590688,0.00006012837,0.0002480488,0.9916075,0.0001580167,0.00245441,0.000301454,0.000009992421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461205,0.0003954647,0.04592532,0.0005295668,0.00001658333,0.00005621927,0.0001331361,0.00003759877,0.006785677],"genre_scores_gemma":[0.9967837,0.0001704347,0.001944795,0.000009964142,0.000006301818,0.00001618815,0.00005055521,0.000003746505,0.001014357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05862711,"threshold_uncertainty_score":0.1165717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06102448657270956,"score_gpt":0.3544834474294078,"score_spread":0.2934589608566983,"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."}}