{"id":"W2769653234","doi":"10.1080/01436597.2017.1401921","title":"Renminbi appreciation and Global Value Chains in China: exploring the linkages","year":2017,"lang":"en","type":"article","venue":"Third World Quarterly","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"International Development Research Centre","keywords":"Renminbi; China; Exchange rate; Value (mathematics); Sample (material); Business; International economics; Politics; Power (physics); Distribution (mathematics); Economics; Monetary economics; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008463089,0.0001642432,0.0001569913,0.002064198,0.001181393,0.001457232,0.0002358199,0.0002492898,0.001790265],"category_scores_gemma":[0.001309608,0.0001065951,0.000105038,0.003953569,0.001353865,0.001335186,0.001163114,0.0004021772,0.0000456913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003701574,"about_ca_system_score_gemma":0.002030009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05180494,"about_ca_topic_score_gemma":0.09958731,"domain_scores_codex":[0.9996395,0.00009769297,0.00001854024,0.00004370376,0.0000819275,0.0001185454],"domain_scores_gemma":[0.9989041,0.0003213851,0.0004098925,0.00004731709,0.000148957,0.000168354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005334231,0.00004732813,0.8804883,0.00008534293,0.00003152946,0.0008975106,0.0704418,0.0008445386,0.0014085,0.0128481,0.0002917967,0.03256175],"study_design_scores_gemma":[0.000004584776,0.0000490991,0.9246559,0.00004237842,0.00001757714,0.00009625081,0.06532266,0.001879919,0.0003284203,0.001948172,0.005641149,0.00001384022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973655,0.0001000167,0.00004091068,0.00009266637,8.037637e-7,0.000002618694,0.000008906161,5.036189e-7,0.002388045],"genre_scores_gemma":[0.9995413,0.0001088525,0.00002855533,0.000008911803,9.318604e-7,0.00000142021,0.00001424276,2.849874e-7,0.0002955118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05180494,"threshold_uncertainty_score":0.1030068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834897962006533,"score_gpt":0.2684423418538366,"score_spread":0.2400933622337713,"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."}}