{"id":"W3115402177","doi":"10.15353/rea.v12i4.1774","title":"EBA's Capital Exercise and Technical Efficiency of the Banks","year":2020,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intermediation; Capital requirement; Data envelopment analysis; Tobit model; Capital (architecture); Capital adequacy ratio; Financial system; Business; Quality (philosophy); Economics; Recapitalization; Shock (circulatory); Financial intermediary; Monetary economics; Finance","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":[0.002659438,0.0001872808,0.0003969436,0.001586063,0.0003528012,0.001807942,0.0003184622,0.0003961507,0.001935134],"category_scores_gemma":[0.01584447,0.0001535407,0.0003048065,0.002043731,0.0006699031,0.001384976,0.001057497,0.0003536548,0.0005658792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007318702,"about_ca_system_score_gemma":0.0005260931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001992655,"about_ca_topic_score_gemma":0.00175618,"domain_scores_codex":[0.9981588,0.0005198641,0.000239846,0.0002833759,0.000552167,0.0002459626],"domain_scores_gemma":[0.9799507,0.006411005,0.009329349,0.001438031,0.002245803,0.0006251946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001329657,0.0001079869,0.960773,0.00005606468,0.000175513,0.0001447734,0.0007561136,0.00847184,0.000799522,0.004702874,0.0006726213,0.02320664],"study_design_scores_gemma":[0.0000109743,0.00007956209,0.9898548,0.00003152663,0.00004256971,0.0001749179,0.0005336564,0.003870241,0.0007893055,0.002355669,0.00224384,0.00001271832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948053,0.000353902,0.001090462,0.0001059905,0.000002441806,0.00001182544,0.0002859962,0.000009871344,0.003334203],"genre_scores_gemma":[0.9989098,0.00009515341,0.0002150543,0.00001179857,0.000004688191,0.000005239061,0.0002163878,0.000001800707,0.0005401038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002659438,"threshold_uncertainty_score":0.01406461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118450933688045,"score_gpt":0.2089737261711654,"score_spread":0.197128632802361,"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."}}