{"id":"W3122753053","doi":"","title":"The Exchange Rate Effects of Macro News after the Global Financial Crisis","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Tokyo Center for Economic Research","keywords":"Macro; Financial crisis; Exchange rate; Economics; Set (abstract data type); Monetary economics; Financial economics; Business; 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":[0.0007699134,0.0002060711,0.0002966566,0.0006008664,0.0002242752,0.001313888,0.0001215973,0.0003160106,0.002315664],"category_scores_gemma":[0.005103536,0.00009101809,0.0002480631,0.0007252186,0.000300068,0.0008274844,0.0006671876,0.0007654178,0.000348043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002368585,"about_ca_system_score_gemma":0.0001540478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006913896,"about_ca_topic_score_gemma":0.007300836,"domain_scores_codex":[0.999836,0.00003793877,0.00001338259,0.00003767075,0.00002647237,0.00004858643],"domain_scores_gemma":[0.9961275,0.001619573,0.001357513,0.0001566829,0.0003543288,0.0003843749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002631602,0.0002042989,0.9322388,0.0001793513,0.0002918216,0.001042029,0.001815607,0.006700705,0.005440983,0.003823788,0.00444539,0.04118572],"study_design_scores_gemma":[0.00001697166,0.0001049026,0.9941137,0.0000179515,0.00009203118,0.00005907648,0.0007722693,0.00244318,0.0006169864,0.0005101001,0.001239339,0.00001338723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961883,0.000372393,0.0001131813,0.0003995272,0.00003182582,0.000002402828,0.000364957,0.000005973299,0.002521401],"genre_scores_gemma":[0.9988844,0.0002536685,0.00002303831,0.00005325056,0.000046089,0.000001393491,0.000306732,0.000006361316,0.0004250862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006913896,"threshold_uncertainty_score":0.01374733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475733065145862,"score_gpt":0.2908610177291895,"score_spread":0.2661036870777309,"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."}}