{"id":"W944822403","doi":"","title":"Canada's RMB hub to lower friction costs.","year":2015,"lang":"en","type":"article","venue":"International financial law review","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renminbi; Economics; Business; Monetary economics; International economics; 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":[0.00155748,0.0004850955,0.0003255882,0.001643418,0.005750541,0.004425654,0.001374162,0.003037045,0.02861648],"category_scores_gemma":[0.004667765,0.0003889459,0.000670126,0.00163337,0.001357544,0.002122613,0.001982767,0.003041258,0.002546238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03344474,"about_ca_system_score_gemma":0.08277792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9379519,"about_ca_topic_score_gemma":0.9681378,"domain_scores_codex":[0.9975163,0.000155902,0.00003298547,0.0001904266,0.001155597,0.0009488987],"domain_scores_gemma":[0.9970673,0.000151439,0.0001303386,0.0001957112,0.0016859,0.0007692982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001826761,0.0001202585,0.006398879,0.0002445204,0.0000582276,0.0005874545,0.0006742523,0.002809645,0.001673183,0.5284935,0.3939118,0.06484555],"study_design_scores_gemma":[0.0001091455,0.00005390251,0.01184291,0.0001534495,0.00004127229,0.0001541683,0.0005335408,0.00232874,0.00139865,0.009031153,0.9742845,0.00006843188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.050922,0.005583017,0.01140271,0.04324371,0.001666381,0.0004983663,0.002895296,0.001091818,0.8826969],"genre_scores_gemma":[0.5254286,0.00267945,0.007984586,0.01172106,0.0002379519,0.0001380069,0.001333791,0.0001767188,0.4502999],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06204814,"threshold_uncertainty_score":0.2426597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06131111894420301,"score_gpt":0.2400125035359003,"score_spread":0.1787013845916973,"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."}}