{"id":"W4381616556","doi":"10.3390/jrfm16070303","title":"Impact of Monetary Policy on Financial Inclusion in Emerging Markets","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Monetary policy; Interest rate; Economics; Financial crisis; Credit channel; Monetary economics; Inclusion (mineral); Monetary hegemony; Financial market; Financial system; Inflation targeting; Business; Finance; Macroeconomics; Financial services","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001651484,0.0002170962,0.0006780308,0.002040054,0.0002281431,0.00002035293,0.0003080526,0.0001417071,0.00002816323],"category_scores_gemma":[0.0003856691,0.0002123866,0.0003034174,0.001411863,0.00005463612,0.0002221696,0.0008507756,0.0003382796,0.00003620454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002087189,"about_ca_system_score_gemma":0.00008643784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000831929,"about_ca_topic_score_gemma":0.00004199418,"domain_scores_codex":[0.9979716,0.00003423329,0.001190246,0.000283777,0.0001355886,0.0003845718],"domain_scores_gemma":[0.998631,0.0000576509,0.0009618705,0.0002208066,0.00004815661,0.00008051716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001427158,0.0005828039,0.3680612,0.0001829899,0.00004710189,0.0004022034,0.00368892,0.002355764,0.0001279591,0.08114297,0.006989507,0.5349914],"study_design_scores_gemma":[0.001402242,0.0004479056,0.9005747,0.0001902594,0.00000900395,0.000004892929,0.0000336222,0.000225429,0.00002977467,0.07429782,0.02257866,0.000205706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926043,0.00205095,0.001717279,0.0002028814,0.0004331432,0.0001991946,0.00009683926,0.00001105342,0.002684365],"genre_scores_gemma":[0.9772741,0.02185519,0.0003155649,0.00009796955,0.0003111926,0.000004209639,0.000005364263,0.00001944836,0.0001169909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5347857,"threshold_uncertainty_score":0.8660875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143388147203839,"score_gpt":0.2474371970292819,"score_spread":0.2360033155572435,"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."}}