{"id":"W4232704371","doi":"10.1080/08853900309529","title":"CROSS COUNTRY SPILLOVER EFFECTS IN FOREIGN EXCHANGE MARKET: An Empirical Analysis of Six OECD Countries","year":2003,"lang":"en","type":"article","venue":"The International Trade Journal","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spillover effect; Economics; Vector autoregression; Exchange rate; International economics; Structural vector autoregression; Foreign exchange; Monetary economics; Macroeconomics; Monetary policy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001282373,0.0001252343,0.0003730618,0.0003776329,0.00008975012,0.0001533281,0.0004103269,0.00008027966,0.001774411],"category_scores_gemma":[0.0001720664,0.0001030146,0.0002024077,0.0003236237,0.0000986986,0.0002753986,0.00002312377,0.0002183363,0.00002087541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001590536,"about_ca_system_score_gemma":0.00003030314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001854161,"about_ca_topic_score_gemma":0.0001308159,"domain_scores_codex":[0.9987804,0.00005188332,0.0006359883,0.0001564733,0.0001476363,0.0002276788],"domain_scores_gemma":[0.999204,0.0001585046,0.0003871093,0.0001594192,0.00002821196,0.00006269458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006165154,0.0001059849,0.6635233,0.00001033105,0.0003276519,0.00001105842,0.0006150171,0.0008398513,0.000005929568,0.3313324,0.003085526,0.00008132996],"study_design_scores_gemma":[0.0004769866,0.00006296114,0.7936423,0.00001137608,0.00004092879,0.00002689727,0.00006857433,0.001686123,0.0000571802,0.01724956,0.1865558,0.0001213658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9306666,0.001688461,0.0004414663,0.000999088,0.0007321771,0.00009207682,0.0003041965,0.000005876443,0.06507011],"genre_scores_gemma":[0.9979076,0.0004102678,0.0001085042,0.001071986,0.0001771636,0.000003944656,0.000007546796,0.00001016321,0.000302811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3140828,"threshold_uncertainty_score":0.9991381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696251835246464,"score_gpt":0.2912591843845814,"score_spread":0.2642966660321168,"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."}}