{"id":"W6958314481","doi":"10.6068/dp1584f1599ce36","title":"TREND: Federal Reserve Board. Currency Exchange Rates: Exchange Rates | Convert From: United States | Convert To: EMU Members, Australia, Brazil, Canada, China, Denmark, EMU Members, Hong Kong, India, Japan, South Korea, Mexico, Sweden, Switzerland, Thailand, United Kingdom, 01/2015 - 11/2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 014-003-001","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreign-exchange reserves; Currency; Reserve currency; Reserve requirement; Open market operation; Monetary reform; Federal Reserve Economic Data; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001452473,0.001882908,0.001620059,0.004444669,0.0009654476,0.003779858,0.002483534,0.00140618,0.1086807],"category_scores_gemma":[0.01080815,0.0009378296,0.0009414635,0.01173936,0.0003263857,0.003748449,0.001492173,0.002868762,0.2353253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002108293,"about_ca_system_score_gemma":0.003179725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04611092,"about_ca_topic_score_gemma":0.04008673,"domain_scores_codex":[0.9982218,0.0002311825,0.0002694617,0.0005211153,0.0005291206,0.0002274071],"domain_scores_gemma":[0.9930097,0.0008539929,0.001043916,0.001082526,0.003595928,0.0004139754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001235102,0.000005210414,0.0004217758,0.00006031233,0.000006421319,0.000003264333,0.000004948326,0.00005164304,0.000009500073,0.0002659707,0.9978974,0.001261047],"study_design_scores_gemma":[0.00006773437,0.000007961122,0.004548557,0.0001534445,0.00001058725,0.00001214809,0.00006393639,0.0001854901,0.0001071396,0.0006960187,0.9941289,0.00001801119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007189641,0.00002874175,0.00004622822,0.0001205727,0.00005487947,0.00001084281,0.9981194,0.0001736614,0.00137357],"genre_scores_gemma":[0.0003504021,0.00005442701,0.0001513799,0.00005725965,0.00002746179,0.00008643154,0.9974564,0.0001034072,0.001712851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9538891,"threshold_uncertainty_score":0.3635731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04182327178029353,"score_gpt":0.3141224787431346,"score_spread":0.272299206962841,"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."}}