{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007801585,0.0002169855,0.0002838311,0.0008073212,0.0002556152,0.0009434641,0.000254802,0.0001703772,0.001791157],"category_scores_gemma":[0.003118972,0.0001513987,0.000484082,0.001022521,0.0003315579,0.0004042589,0.0004444799,0.0003781183,0.0002899706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224785,"about_ca_system_score_gemma":0.0009540766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06915992,"about_ca_topic_score_gemma":0.05548242,"domain_scores_codex":[0.9995564,0.0001101885,0.00003607101,0.0000900997,0.00009942492,0.0001078589],"domain_scores_gemma":[0.9978679,0.0005349293,0.000749301,0.0001619352,0.0004628675,0.0002230379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000239363,0.0000332082,0.9747533,0.00003317838,0.0001562427,0.0005915214,0.0003951257,0.01240014,0.0019839,0.001227649,0.0008295339,0.007356893],"study_design_scores_gemma":[0.00001079094,0.0000355486,0.9912515,0.000004769,0.00004441402,0.0000613754,0.0002947368,0.006814408,0.0004669328,0.00008909235,0.0009183104,0.00000811556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973722,0.00008695915,0.0001369704,0.0001063306,0.000003568835,0.000003744358,0.0003311571,0.00001770285,0.00194151],"genre_scores_gemma":[0.9991579,0.00005551951,0.00005297577,0.000007901346,0.000002742778,0.00000148317,0.0002943813,0.000003616686,0.0004235954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06915992,"threshold_uncertainty_score":0.1375147,"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."}}