{"id":"W6976735616","doi":"10.6068/dp14c594910a356","title":"TREND: Federal Reserve Board. Currency Exchange Rates: Exchange Rates | Convert From: Canada | Convert To: United States, 01/04/1971 - 03/20/2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 014-003-001","year":2015,"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; Official cash rate; Exchange 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":[0.001425613,0.002083606,0.002024757,0.007325875,0.00207776,0.005257627,0.003545504,0.001301027,0.1297706],"category_scores_gemma":[0.0117717,0.001102193,0.0009493495,0.0220973,0.0005586237,0.003319625,0.001653364,0.003201775,0.1987356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0102447,"about_ca_system_score_gemma":0.02196991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7455198,"about_ca_topic_score_gemma":0.7439706,"domain_scores_codex":[0.9975836,0.000160464,0.0002214361,0.0005134877,0.001114472,0.00040648],"domain_scores_gemma":[0.982138,0.0008624629,0.001046182,0.001463431,0.01363027,0.0008595725],"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":[0.00000881403,0.000003076961,0.0002819778,0.00004621702,0.00000453671,0.000002317295,0.000004615797,0.00004096101,0.000005120104,0.0002401579,0.998325,0.001037179],"study_design_scores_gemma":[0.00003640784,0.000003358338,0.003890523,0.0001468293,0.00000781643,0.000006372834,0.00006951735,0.0001132172,0.00008155883,0.0004018634,0.9952226,0.00001993321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003476296,0.0000250217,0.00002561872,0.00008386966,0.00003557953,0.00001073422,0.9981736,0.0001258007,0.001484948],"genre_scores_gemma":[0.0002372421,0.00007322231,0.0001336885,0.0000507441,0.00001828893,0.00005611419,0.9969059,0.0001034429,0.002421399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2544802,"threshold_uncertainty_score":0.5119578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05356576707567456,"score_gpt":0.3129898890207937,"score_spread":0.2594241219451192,"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."}}