{"id":"W2313695310","doi":"10.1257/mac.20140362","title":"The Exchange Rate Response to Monetary Policy Innovations","year":2016,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Counterfactual thinking; Economics; Market liquidity; Monetary economics; Currency; Monetary policy; Exchange rate; Channel (broadcasting); Developing country; Transmission channel; Transmission (telecommunications); Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00367293,0.0004308689,0.0008028111,0.0008995236,0.000816329,0.0004572422,0.001093721,0.00008930254,0.0007232992],"category_scores_gemma":[0.0006022979,0.0003501878,0.0003246023,0.0002763424,0.0005220418,0.0008346225,0.0002288178,0.0003219548,0.008936022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00191123,"about_ca_system_score_gemma":0.0002433398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001234057,"about_ca_topic_score_gemma":0.0002410957,"domain_scores_codex":[0.9960601,0.0001443226,0.001873815,0.0006696025,0.00002507565,0.001227118],"domain_scores_gemma":[0.9959928,0.0008897994,0.001519163,0.0009550161,0.00002613258,0.0006171163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006020277,0.0002748121,0.09914739,0.00002136157,0.002150482,0.00005652494,0.003540191,0.01791232,0.0009520851,0.2954148,0.1979147,0.376595],"study_design_scores_gemma":[0.001756587,0.0004646764,0.0506012,0.00001834044,0.00001063216,0.0002351645,0.0002815947,0.00185533,0.00009632143,0.03513849,0.9086778,0.0008639054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976529,0.0003799355,0.002360759,0.09237303,0.001308014,0.0003248146,0.000631641,0.00005681332,0.004912157],"genre_scores_gemma":[0.9809248,0.002808456,0.0009023647,0.007763082,0.001698528,0.00005682625,0.00000475658,0.0001050869,0.005736047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.710763,"threshold_uncertainty_score":0.999895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03052075023186578,"score_gpt":0.2514232418148498,"score_spread":0.220902491582984,"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."}}