{"id":"W3123642925","doi":"","title":"Monetary Policy Spillovers in Emerging Economies","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Emerging markets; Exchange rate; Monetary policy; Montenegro; Economics; Monetary economics; Inflation targeting; Depreciation (economics); Inflation (cosmology); Liberian dollar; International economics; Macroeconomics; Market economy; Geography; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008575872,0.0003109163,0.0004864508,0.001059062,0.0005040464,0.001453197,0.0001669489,0.0003622627,0.00332558],"category_scores_gemma":[0.004573222,0.0001803832,0.000483254,0.0008019533,0.0004645129,0.001159125,0.001508882,0.0008465601,0.0001975746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006038262,"about_ca_system_score_gemma":0.0005773033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007063638,"about_ca_topic_score_gemma":0.007059428,"domain_scores_codex":[0.999713,0.00008903093,0.00002439085,0.00006497456,0.0000502254,0.0000583539],"domain_scores_gemma":[0.9985433,0.0006117308,0.0005054006,0.00008479149,0.0001415647,0.0001132264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006217191,0.0006846731,0.6430008,0.0004020664,0.000733936,0.003294136,0.003062693,0.09830773,0.003461706,0.1187022,0.003724529,0.1240039],"study_design_scores_gemma":[0.0001232199,0.0004306725,0.8525857,0.0004837187,0.0007700901,0.0008722012,0.005604825,0.04328171,0.002581157,0.07506421,0.01812564,0.0000767705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750223,0.002607487,0.003914641,0.001005422,0.00004686369,0.00002901337,0.0002175885,0.00004326535,0.0171134],"genre_scores_gemma":[0.9970846,0.001754879,0.0003404795,0.0001119763,0.00003364802,0.000007168225,0.00008638301,0.0000022834,0.000578612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007063638,"threshold_uncertainty_score":0.014045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006750368405160817,"score_gpt":0.2072263910802467,"score_spread":0.2004760226750859,"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."}}