{"id":"W4407594231","doi":"10.54254/2755-2721/2024.20849","title":"The Impact of the US Election Cycle and Partisan Factors on Dollar Exchange Rate Volatility","year":2025,"lang":"en","type":"article","venue":"Applied and Computational Engineering","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Volatility (finance); Us dollar; Economics; Exchange rate; Monetary economics; Financial economics; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.0001492846,0.00007420524,0.0001123848,0.00004147109,0.0001177601,0.00003056022,0.00004684462,0.00002693781,0.000007146698],"category_scores_gemma":[0.00001611952,0.00005322662,0.00003869851,0.00007705045,0.00002420763,0.00003494324,0.00002151048,0.00006369336,0.000001548666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002959767,"about_ca_system_score_gemma":0.000005906244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000152627,"about_ca_topic_score_gemma":0.000003874692,"domain_scores_codex":[0.999599,0.000004181524,0.0001729072,0.0001115822,0.00001103288,0.0001013142],"domain_scores_gemma":[0.9997088,0.0001229427,0.00006390864,0.00007916857,0.000003140966,0.00002197848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001982084,0.00002922277,0.02982942,0.00003181872,0.0001462067,5.034791e-8,0.0003026781,0.8247175,0.00004254132,0.1429833,0.0001537509,0.001565309],"study_design_scores_gemma":[0.000625968,0.00002411323,0.5556663,0.000003767368,0.000002089762,2.246745e-7,0.000005934452,0.4228403,0.00004413817,0.02043607,0.0003011084,0.00004991803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968933,0.000238034,0.001509802,0.00009511728,0.00007752446,0.0001286723,0.00002151879,0.000008887335,0.001027179],"genre_scores_gemma":[0.9998351,0.00002807383,0.00002624676,0.00003625179,0.0000186319,0.000008177823,0.000003344928,0.000004079785,0.0000400929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5258369,"threshold_uncertainty_score":0.2170518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597042585446429,"score_gpt":0.2053184992032447,"score_spread":0.1893480733487804,"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."}}