{"id":"W2076261870","doi":"10.1016/j.iref.2015.02.003","title":"Determinants of the banking spread in the Brazilian economy: The role of micro and macroeconomic factors","year":2015,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Index (typography); Revenue; Sample (material); Panel data; Economics; Real economy; Economy; Retail banking; Monetary economics; Financial system; Business; Finance; Econometrics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001061823,0.0002372178,0.0004477038,0.001101615,0.0004072762,0.002487514,0.0003402984,0.0005408105,0.002223322],"category_scores_gemma":[0.007394371,0.0002020556,0.0003845497,0.001789758,0.0008736557,0.000903359,0.0007677894,0.000876375,0.0001942548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008879115,"about_ca_system_score_gemma":0.0009982846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05316778,"about_ca_topic_score_gemma":0.05783104,"domain_scores_codex":[0.9995847,0.0001210474,0.00003779622,0.0000757758,0.0001066879,0.00007405718],"domain_scores_gemma":[0.9949226,0.002076603,0.001571794,0.0002241626,0.0008245094,0.0003804549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007154727,0.00007932873,0.9456698,0.0001271111,0.0002456139,0.0002909819,0.0007405987,0.005087568,0.001049072,0.01678168,0.001133501,0.02872316],"study_design_scores_gemma":[0.000006908055,0.00001381663,0.9833308,0.00009794652,0.0001180131,0.0001267829,0.0007701519,0.006393256,0.0001662289,0.006281066,0.002684378,0.00001069208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974198,0.01135081,0.001433989,0.004951593,0.00002889497,0.00001033155,0.0004421914,0.00001764769,0.007566561],"genre_scores_gemma":[0.9969785,0.002510847,0.00008398946,0.00003917112,0.00003733901,0.000001684701,0.00008218066,0.000003311094,0.0002630624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05316778,"threshold_uncertainty_score":0.1057166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244628863865897,"score_gpt":0.2561375569197034,"score_spread":0.2336912682810444,"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."}}