{"id":"W2157197094","doi":"","title":"Bankers and bank investors: Reconsidering the economies of scale in banking","year":2012,"lang":"en","type":"article","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Graduate Education; Queen's University; Queen's University Belfast; Univerzita Karlova v Praze","keywords":"Economic rent; Economies of scale; Decile; Monetary economics; Financial system; Business; Scale (ratio); Margin (machine learning); Economics; Retail banking; Finance; Market economy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.004024158,0.0003133471,0.0009596664,0.001264568,0.0006555626,0.003459879,0.0005784663,0.001088123,0.003618648],"category_scores_gemma":[0.02349958,0.0002075387,0.000538033,0.002034947,0.005034845,0.005771219,0.002282006,0.00141346,0.000242092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008469982,"about_ca_system_score_gemma":0.000684085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004151661,"about_ca_topic_score_gemma":0.005055636,"domain_scores_codex":[0.9980439,0.001063766,0.0001039232,0.0002457897,0.0003372355,0.0002054408],"domain_scores_gemma":[0.9630908,0.02680493,0.007195661,0.001237285,0.0005567829,0.001114485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004821951,0.0001383595,0.5803815,0.0001940046,0.0003569672,0.001008285,0.00439751,0.01412107,0.0009030466,0.3237746,0.00236343,0.07187898],"study_design_scores_gemma":[0.0001414212,0.0002930387,0.4417067,0.0002776949,0.0002688917,0.0003566131,0.005859428,0.02549975,0.0008105392,0.5133293,0.01134198,0.0001144789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469395,0.005253407,0.01360318,0.008052968,0.00007269567,0.00003028228,0.0001358429,0.00002612822,0.02588613],"genre_scores_gemma":[0.9979019,0.0005437864,0.000494979,0.0001847513,0.00009909777,0.000008155623,0.00001728925,0.000003954618,0.0007460597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004151661,"threshold_uncertainty_score":0.02128208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08787747689341124,"score_gpt":0.3276156184677869,"score_spread":0.2397381415743756,"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."}}