{"id":"W6901498983","doi":"10.6068/dp16b6bdc1d6568","title":"TREND: Federal Reserve Board. Currency Exchange Rates: Exchange Rates | Convert From: United States | Convert To: Canada, 04/30/2019 - 05/08/2019. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 014-003-001","year":2019,"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 requirement; Official cash rate; Reserve currency; Open market operation; Federal Reserve Economic Data; Bank rate; Special drawing rights","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":[0.0009935697,0.001496842,0.001324523,0.004393811,0.0009376763,0.002992379,0.002457668,0.00113893,0.1425885],"category_scores_gemma":[0.007426985,0.0008415563,0.0007729907,0.01081655,0.0003442222,0.002293548,0.001549328,0.002486983,0.2103913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435962,"about_ca_system_score_gemma":0.004995079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.123666,"about_ca_topic_score_gemma":0.1549428,"domain_scores_codex":[0.9990783,0.0001068908,0.0001268089,0.0002497999,0.0002716343,0.0001665094],"domain_scores_gemma":[0.9958603,0.0004753274,0.0004544643,0.0007809699,0.002069654,0.000359247],"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":[0.000009874554,0.000003479493,0.0002518808,0.00008296013,0.000005234658,0.000002549704,0.000004779556,0.00003522488,0.00001017666,0.0002092042,0.9985235,0.0008611598],"study_design_scores_gemma":[0.00006466865,0.000003938389,0.002749778,0.0001424063,0.000008264604,0.000009201244,0.00004308699,0.00009489029,0.00009143534,0.0006458941,0.9961305,0.00001604201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002225473,0.0000136243,0.00002090519,0.00004033163,0.00001472796,0.000004854729,0.9991511,0.0001045655,0.0006274802],"genre_scores_gemma":[0.0001785931,0.00003889191,0.0001342464,0.00003375587,0.000008183572,0.00005672843,0.9984134,0.00008430702,0.00105184],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.876334,"threshold_uncertainty_score":0.4770061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04507358851335895,"score_gpt":0.2921698022920038,"score_spread":0.2470962137786448,"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."}}