{"id":"W2765228591","doi":"10.5539/ijef.v9n11p218","title":"Monetary Policy and Nigeria’s Economy: An Impact Investigation","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Money supply; Monetary policy; Economics; Gross domestic product; Private sector; Broad money; Central bank; Economy; Variables; Monetary economics; Regression analysis; Interest rate; Bank reserves; Macroeconomics; Reserve requirement; Economic growth","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":[0.0006484876,0.0002488607,0.0003022167,0.00125971,0.0004709408,0.001935907,0.0001359803,0.0004884376,0.003415795],"category_scores_gemma":[0.001412111,0.0001526241,0.0002713752,0.001510005,0.0004289804,0.001064921,0.0007049778,0.0007454242,0.0001914246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113178,"about_ca_system_score_gemma":0.001331991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004742327,"about_ca_topic_score_gemma":0.006662585,"domain_scores_codex":[0.9996928,0.0001064136,0.00002522187,0.00002486657,0.00006695239,0.00008368293],"domain_scores_gemma":[0.9987037,0.0007823998,0.0002670575,0.00001756466,0.000141815,0.00008750112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006643928,0.001264857,0.8416072,0.001533169,0.0002670724,0.006990802,0.002681946,0.01321963,0.00309843,0.06246378,0.0025207,0.06368802],"study_design_scores_gemma":[0.0000602549,0.000909223,0.9338732,0.0009960334,0.0003965236,0.001086592,0.01550108,0.018241,0.001995865,0.01038142,0.01651514,0.00004362643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968604,0.007232933,0.0002746963,0.001301801,0.00005543212,0.00003756915,0.0001396231,0.000003618253,0.02235038],"genre_scores_gemma":[0.9924367,0.005993898,0.0001318695,0.00006700736,0.00004227629,0.000008723989,0.00005444398,0.000001074452,0.001264016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004742327,"threshold_uncertainty_score":0.01142699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0659116600140219,"score_gpt":0.2760394770091989,"score_spread":0.210127816995177,"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."}}