{"id":"W2254230465","doi":"","title":"Непараметрические Оценки Эффективности Российских Банков [Nonparametric estimates of Russian banks efficiency]","year":2010,"lang":"ru","type":"article","venue":"MPRA Paper","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nonparametric statistics; Econometrics; Quarter (Canadian coin); Parametric statistics; Economics; Spearman's rank correlation coefficient; Rank correlation; Rank (graph theory); Estimation; Data envelopment analysis; Statistics; Mathematics; Geography; Combinatorics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00850294,0.001192006,0.002192459,0.003136437,0.0009945157,0.001136158,0.004706195,0.001148663,0.01630399],"category_scores_gemma":[0.01486984,0.0009496377,0.001292237,0.01239064,0.002489041,0.001416485,0.0009204861,0.00219381,0.006774572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117336,"about_ca_system_score_gemma":0.0009200285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007151091,"about_ca_topic_score_gemma":0.0004184874,"domain_scores_codex":[0.9858524,0.0006423943,0.003640509,0.002633946,0.00522126,0.002009448],"domain_scores_gemma":[0.9851641,0.006583918,0.001928804,0.004460287,0.001036199,0.0008266941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005657686,0.01016473,0.1290336,0.0005043927,0.001130235,0.000479048,0.008574171,0.02554357,0.3602152,0.05949664,0.0306681,0.3736246],"study_design_scores_gemma":[0.006120857,0.002443488,0.3077455,0.0008718237,0.00300197,0.0004136133,0.002576653,0.2986959,0.0733259,0.02717096,0.2704467,0.007186678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8872131,0.003748005,0.005883915,0.00471688,0.006620592,0.000975354,0.0001751582,0.0003031105,0.09036386],"genre_scores_gemma":[0.9863224,0.0001144839,0.008080806,0.0008761098,0.0004442953,0.0000244244,0.0000203612,0.0001180784,0.003999064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3664379,"threshold_uncertainty_score":0.9999008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02660296767697362,"score_gpt":0.3362955066698056,"score_spread":0.3096925389928319,"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."}}