{"id":"W6976452983","doi":"10.6068/dp14c61a4df6f91","title":"TREND: International Monetary Fund. International Financial Statistics: Exchange Rate | Country: Canada | IMF Key Code: 156..RELZF... | Commodity: REER BASED ON ULC - Average, 1992/1 - 2014/3. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-004-001","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Special drawing rights; Currency; Exchange rate; Mandate; Balance of payments; International finance; Liberian dollar; Renminbi; Exchange-rate flexibility","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":[0.001244961,0.002219731,0.001977816,0.006028139,0.001424404,0.004544992,0.003181623,0.001533109,0.1290598],"category_scores_gemma":[0.009477871,0.001045482,0.001085291,0.01780397,0.0004419243,0.004028039,0.001936244,0.003386384,0.2364888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004288037,"about_ca_system_score_gemma":0.008275186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2489033,"about_ca_topic_score_gemma":0.2726111,"domain_scores_codex":[0.9983287,0.0001517275,0.0002107868,0.00044788,0.0006093094,0.0002515642],"domain_scores_gemma":[0.9901574,0.000692801,0.000850263,0.001199515,0.006518177,0.0005818694],"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":[0.000006577826,0.000002780999,0.0001897985,0.00007230363,0.000004538715,0.000002405409,0.000003231218,0.00003201586,0.000007009409,0.0001463883,0.9987776,0.0007554595],"study_design_scores_gemma":[0.00004288853,0.000004136262,0.003206498,0.0001895745,0.000009117642,0.000009108047,0.00005328693,0.0001175309,0.00005874574,0.000406333,0.9958845,0.00001823641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002083016,0.00002145393,0.00002266992,0.0000603191,0.00002991664,0.000006311938,0.999015,0.00008845726,0.0007351296],"genre_scores_gemma":[0.000120442,0.00004960579,0.0001120998,0.00003430667,0.0000156064,0.00004932421,0.9984807,0.00006116409,0.001076696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7510967,"threshold_uncertainty_score":0.4949091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000969690712544,"score_gpt":0.2738797394187404,"score_spread":0.243870042511615,"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."}}