{"id":"W2351024852","doi":"","title":"Influences of RMB Real Effective Exchange Rate Changes on China's Agricultural Exports Provincial Regional Structure","year":2014,"lang":"en","type":"article","venue":"Economic Survey","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renminbi; China; Agriculture; Exchange rate; Beijing; Quarter (Canadian coin); Agricultural economics; Product (mathematics); Effective exchange rate; Business; Economics; International economics; Geography; Monetary economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005473064,0.0001902073,0.0002794606,0.00009062225,0.00008851909,0.00008060451,0.0002026411,0.00007145517,0.0002314933],"category_scores_gemma":[0.00005651,0.0001495977,0.00005703479,0.00009837448,0.00006318889,0.000277054,0.00007414457,0.00008289754,0.00007648231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004592156,"about_ca_system_score_gemma":0.00001583887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007169822,"about_ca_topic_score_gemma":0.02142351,"domain_scores_codex":[0.9991271,0.00009413434,0.0001807925,0.0003028749,0.0000871999,0.0002078489],"domain_scores_gemma":[0.9993697,0.0001258961,0.0002854791,0.0001447819,0.00005966072,0.00001443575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004676083,0.00009433747,0.9608923,0.0002452731,0.0001136432,0.000004817658,0.0001814491,0.0007421529,0.001010565,0.01993088,0.002772847,0.01354413],"study_design_scores_gemma":[0.0003621652,0.00004218408,0.9923767,0.00003907341,0.00001115805,9.656993e-7,0.00003478435,0.00006220006,0.0002624606,0.0008092656,0.005806654,0.0001923986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869888,0.00001656915,0.000001401299,0.0001703202,0.0006576583,0.0002693736,0.00004741765,0.00003984123,0.01180857],"genre_scores_gemma":[0.9979901,0.00000817945,0.000003215666,0.0002873832,0.001441312,0.0000224976,0.0001530166,0.00001139771,0.00008295511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03148438,"threshold_uncertainty_score":0.9994415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448904973487442,"score_gpt":0.2084257294974484,"score_spread":0.1939366797625739,"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."}}