{"id":"W1524187074","doi":"10.2139/ssrn.2705818","title":"Exchange Rates and Monetary Policy Uncertainty","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"Economic and Social Research Council","keywords":"Monetary policy; Economics; Exchange rate; Monetary economics; Macroeconomics","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":[0.00122491,0.0002815022,0.0004403803,0.00074293,0.0002920617,0.004281437,0.0002661595,0.001510391,0.00349167],"category_scores_gemma":[0.01422761,0.0002645237,0.0002258985,0.001086601,0.0007852734,0.003285413,0.0008275518,0.001599125,0.0003523817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006043605,"about_ca_system_score_gemma":0.0002911307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009026509,"about_ca_topic_score_gemma":0.0006760416,"domain_scores_codex":[0.9996158,0.0001917759,0.00002940269,0.00005792133,0.00007246991,0.00003256056],"domain_scores_gemma":[0.9936283,0.004682131,0.001189828,0.0001421858,0.0001908988,0.0001667264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006334031,0.0001358767,0.04816761,0.0001764123,0.0002994531,0.001210019,0.0008805907,0.06983898,0.0009479324,0.8174048,0.007856887,0.05244809],"study_design_scores_gemma":[0.00003596806,0.00005246645,0.0246505,0.00008892415,0.0000787771,0.0002699654,0.00049349,0.05128691,0.0002649734,0.9167599,0.005972258,0.00004587071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8547924,0.02580248,0.02189871,0.03799922,0.0007603031,0.0000131371,0.0007954367,0.00009289908,0.0578455],"genre_scores_gemma":[0.9934554,0.003759239,0.0003247792,0.0001945037,0.0003931084,0.000002863584,0.00007140959,0.00001085082,0.001787935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004281437,"threshold_uncertainty_score":0.01168078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170746178385218,"score_gpt":0.2393561780529672,"score_spread":0.217648716269115,"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."}}