{"id":"W4378808094","doi":"10.9734/jemt/2023/v29i81116","title":"The Disaggregated Impact of Financial Development on the Effectiveness of Monetary Policy in Nigeria","year":2023,"lang":"en","type":"article","venue":"Journal of Economics Management and Trade","topic":"Economic Growth and Development","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monetary policy; Economics; Distributed lag; Financial market; Scope (computer science); Financial market efficiency; Quarter (Canadian coin); Finance; Government (linguistics); Monetary economics; Financial system; Business; Econometrics","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":[0.001117728,0.000130054,0.0003009295,0.0008860696,0.0003864277,0.00215846,0.0001441302,0.0003335595,0.00195799],"category_scores_gemma":[0.003964849,0.0001549246,0.0001686285,0.001152515,0.0005589547,0.001052655,0.001171531,0.0005745485,0.0001200434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696577,"about_ca_system_score_gemma":0.001171133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01016301,"about_ca_topic_score_gemma":0.01400178,"domain_scores_codex":[0.9993753,0.0002241712,0.00006730289,0.00006574181,0.00009991044,0.0001675142],"domain_scores_gemma":[0.9973159,0.0008722272,0.00113471,0.00009574916,0.0003866781,0.0001948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007311746,0.000225496,0.8655372,0.000421487,0.0003072947,0.002498497,0.00242652,0.02926129,0.002735656,0.02593394,0.001586116,0.06833547],"study_design_scores_gemma":[0.00002417393,0.0002059909,0.9694293,0.0002295233,0.000119083,0.0002427242,0.004423434,0.01141126,0.001131192,0.007060136,0.005693064,0.00003015256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930845,0.0009684375,0.0002594347,0.0006186856,0.00001410875,0.000009912614,0.0001941271,0.000005180622,0.004845663],"genre_scores_gemma":[0.9992655,0.0003402776,0.00008730571,0.00002685693,0.000005342546,0.000002356047,0.0000479136,0.000001000499,0.0002235024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01016301,"threshold_uncertainty_score":0.0202077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195947253315667,"score_gpt":0.2200304110703828,"score_spread":0.2080709385372262,"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."}}