{"id":"W3122054876","doi":"10.2139/ssrn.1693523","title":"Cooperative Bank Efficiency in Japan: A Parametric Distance Function Analysis","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Function (biology); Parametric statistics; Econometrics; Economics; Statistics; Mathematics; Biology","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":[0.002705486,0.0004357487,0.001224,0.00171656,0.0008569685,0.002122134,0.001067099,0.0008656658,0.001844819],"category_scores_gemma":[0.009320978,0.0003109495,0.001001134,0.002541905,0.001286026,0.002711248,0.001594393,0.0008215338,0.0001233828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002472217,"about_ca_system_score_gemma":0.001748454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01499531,"about_ca_topic_score_gemma":0.009440601,"domain_scores_codex":[0.9984862,0.0005370643,0.0001006125,0.0003320478,0.0002590906,0.0002849967],"domain_scores_gemma":[0.9945503,0.003601489,0.0004782086,0.0003252689,0.000831953,0.000212873],"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":[0.0005920312,0.0004897311,0.1158851,0.0002909219,0.0005441936,0.001152068,0.002086853,0.5850126,0.002746757,0.2159124,0.0021761,0.07311121],"study_design_scores_gemma":[0.00007591768,0.0002596576,0.100481,0.00003726818,0.00044003,0.000290747,0.002948229,0.8429086,0.001394619,0.04928976,0.001788629,0.00008556746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634208,0.0002196985,0.03236293,0.0001793851,0.00000721739,0.00002037853,0.00007948346,0.00001295902,0.003697115],"genre_scores_gemma":[0.997592,0.00006272154,0.001677411,0.000007159565,0.000004745724,0.00001500942,0.00005465716,0.000004358345,0.0005820169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01499531,"threshold_uncertainty_score":0.02981603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853309063936498,"score_gpt":0.320601748799223,"score_spread":0.3020686581598581,"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."}}