{"id":"W3014996171","doi":"10.3390/jrfm13040067","title":"European Bank’s Performance and Efficiency","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Data envelopment analysis; Economic efficiency; Business; Measure (data warehouse); Estimator; Generalized method of moments; Operational efficiency; Econometrics; Economics; Computer science; Panel data; Finance; Microeconomics; Mathematics; Marketing; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003088953,0.0001017564,0.0002580385,0.0002433863,0.0002129554,0.0001754221,0.0003870135,0.00001986292,0.00002198142],"category_scores_gemma":[0.00100538,0.00006967536,0.00008316078,0.0006865049,0.00009747819,0.0002170073,0.0002036562,0.0001837255,0.00003866245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008994843,"about_ca_system_score_gemma":0.0000150301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001956545,"about_ca_topic_score_gemma":0.00000126916,"domain_scores_codex":[0.9980565,0.0001586649,0.0006394412,0.0002302173,0.0007647636,0.0001504148],"domain_scores_gemma":[0.998964,0.0001434555,0.000472676,0.0001429213,0.0001387291,0.0001382467],"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":[0.00007549059,0.00005129721,0.04171343,0.00001638593,0.0000106212,0.0001124952,0.001932591,0.001241474,0.00002095664,0.001087639,0.003708349,0.9500293],"study_design_scores_gemma":[0.0008978386,0.0005689947,0.6829078,0.00005313774,0.0001500745,0.00003050818,0.000697056,0.008588104,0.00002628782,0.001505907,0.3043627,0.0002116879],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.924228,0.0008464518,0.06901896,0.0006815605,0.000188792,0.00005613445,0.000001972809,0.00000713399,0.004971048],"genre_scores_gemma":[0.9964358,0.001437114,0.001418138,0.0004453892,0.0001669892,1.695955e-7,7.98933e-8,0.000005111985,0.00009121517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9498176,"threshold_uncertainty_score":0.2841279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767778852685009,"score_gpt":0.2740661658858054,"score_spread":0.2463883773589553,"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."}}