{"id":"W2991173540","doi":"10.1002/ijfe.1773","title":"Monetary policy spillovers in emerging economies","year":2019,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Exchange rate; Economics; Emerging markets; Monetary policy; Montenegro; Inflation targeting; Monetary economics; Depreciation (economics); Inflation (cosmology); Liberian dollar; International economics; Macroeconomics; Market economy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000734041,0.0001482296,0.0004756615,0.0007075474,0.00001835412,0.00008195401,0.0006191813,0.00008602045,0.0003991251],"category_scores_gemma":[0.00009929694,0.0001895663,0.0002188334,0.0001019289,0.00003696817,0.0007304586,0.00008751272,0.0002406667,0.0001251632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006060192,"about_ca_system_score_gemma":0.0001120179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003593579,"about_ca_topic_score_gemma":0.0001146486,"domain_scores_codex":[0.9982129,0.00001031867,0.001254082,0.0002558245,0.00003560282,0.0002312273],"domain_scores_gemma":[0.9984889,0.00006248763,0.001112047,0.0002134821,0.00007310874,0.00004994701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001202399,0.00007410598,0.8526337,0.000008072178,0.00009293334,0.00001202976,0.0002036417,0.009467705,0.000005959042,0.1326491,0.0001647129,0.004567859],"study_design_scores_gemma":[0.00267667,0.0001376925,0.4792385,0.00007916937,0.000004132313,0.00006626551,0.0001245213,0.1741836,0.00003478296,0.1761502,0.1668032,0.0005012394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676609,0.0005111314,0.0002168851,0.002256743,0.002141169,0.00008762712,0.00009569449,0.00000433482,0.02702553],"genre_scores_gemma":[0.9951929,0.002448352,0.0009349268,0.0004216882,0.0003442655,0.00000184979,0.000006762759,0.00001853086,0.0006306555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3733951,"threshold_uncertainty_score":0.7730291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073670840154257,"score_gpt":0.2294168260627457,"score_spread":0.2186801176612031,"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."}}