{"id":"W2602446986","doi":"10.1016/j.jimonfin.2018.03.009","title":"The exchange rate effects of macro news after the global Financial Crisis","year":2018,"lang":"en","type":"article","venue":"Journal of International Money and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Ministry of Education, Culture, Sports, Science and Technology","keywords":"Macro; Financial crisis; Exchange rate; Economics; Set (abstract data type); Monetary economics; Financial economics; Macroeconomics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000999824,0.0002208288,0.0003799784,0.0008219402,0.0005201648,0.003461049,0.0002712045,0.001409001,0.007282491],"category_scores_gemma":[0.008916494,0.0002325986,0.0002932081,0.001071423,0.0005479773,0.001787426,0.001011776,0.001924287,0.0009781407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006233655,"about_ca_system_score_gemma":0.0002945547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004254,"about_ca_topic_score_gemma":0.01726509,"domain_scores_codex":[0.9997999,0.00003790537,0.00001885169,0.0000290271,0.0000368554,0.00007756092],"domain_scores_gemma":[0.995004,0.002241201,0.001548391,0.0001566576,0.0005129757,0.0005367451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01141666,0.001428105,0.8545036,0.0004467979,0.0006696774,0.003775526,0.004414791,0.01181768,0.006265636,0.01970918,0.02819773,0.05735463],"study_design_scores_gemma":[0.00008079038,0.0002134715,0.9860262,0.00004916052,0.0001868764,0.0001635003,0.002227523,0.002374039,0.0007054926,0.002738784,0.005198812,0.00003527014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872515,0.001169825,0.00006578337,0.003570419,0.00021275,0.000005733332,0.0008629074,0.00001015964,0.006850843],"genre_scores_gemma":[0.9970164,0.0005709976,0.00001169538,0.0001831932,0.0001798416,0.000002153598,0.000355925,0.00001078272,0.001669053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01004254,"threshold_uncertainty_score":0.02436239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007233848149416009,"score_gpt":0.2187294015168741,"score_spread":0.2114955533674581,"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."}}