{"id":"W6920511120","doi":"10.6068/dp1536de0199661","title":"TREND: Federal Reserve Board. Currency Exchange Rates: Exchange Rates | Convert From: United States | Convert To: Canada, 01/1971 - 03/2016. 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":"Currency; Foreign-exchange reserves; Reserve requirement; Federal Reserve Economic Data; Open market operation; Reserve currency; Monetary reform; Exchange rate; Official cash rate","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":[0.001593771,0.001945545,0.001871769,0.006431694,0.001600327,0.005188623,0.003207747,0.001333881,0.1648784],"category_scores_gemma":[0.01236306,0.001101854,0.0009072955,0.02049588,0.0004797998,0.003825437,0.001801693,0.003108309,0.2763169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006154048,"about_ca_system_score_gemma":0.01287003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4153851,"about_ca_topic_score_gemma":0.3754504,"domain_scores_codex":[0.9976314,0.000194346,0.0002651642,0.0005399262,0.001024425,0.0003446504],"domain_scores_gemma":[0.9853938,0.0009475651,0.001188112,0.001449066,0.01027454,0.0007469806],"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":[0.000008143818,0.000003003897,0.0002344858,0.00004590964,0.000003771944,0.000002025077,0.000004134556,0.00003225618,0.000005354085,0.0002459311,0.9982914,0.001123584],"study_design_scores_gemma":[0.00003023733,0.000003452739,0.003112159,0.0001356809,0.00000620829,0.000006081485,0.00005449196,0.00008284867,0.00006934166,0.0004297981,0.9960538,0.00001591435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00003273999,0.00002474115,0.00003431413,0.0001033267,0.00004690735,0.00001226437,0.9975794,0.0001616241,0.002004625],"genre_scores_gemma":[0.0002222943,0.00007890978,0.0001569461,0.00006219673,0.00002446516,0.0000778887,0.9964237,0.0001474795,0.002806235],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5846149,"threshold_uncertainty_score":0.8259346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0413701069786699,"score_gpt":0.3058870998189284,"score_spread":0.2645169928402585,"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."}}