{"id":"W2392790092","doi":"","title":"RMB Exchange Rate and Trade Imbalance","year":2012,"lang":"en","type":"article","venue":"Xi'an Caijing Xueyuan xuebao","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renminbi; Exchange rate; Economics; International economics; Quarter (Canadian coin); China; Consumption (sociology); Monetary economics; Anticipation (artificial intelligence); Empirical research; Effective exchange rate; International trade","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":[0.0006193506,0.0002355977,0.0003721125,0.002003964,0.0002789563,0.001048501,0.0001594124,0.0003369155,0.002261512],"category_scores_gemma":[0.002590219,0.00008532925,0.0002175247,0.002817666,0.0002381256,0.0007348018,0.0005515032,0.0007765504,0.0006796609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006497242,"about_ca_system_score_gemma":0.0003071141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004417256,"about_ca_topic_score_gemma":0.00397104,"domain_scores_codex":[0.9995255,0.0000696243,0.00007306409,0.00007610517,0.0001559185,0.00009977796],"domain_scores_gemma":[0.9966847,0.0003125943,0.002365027,0.0001277398,0.0003256886,0.0001842629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004287737,0.00004740584,0.9714627,0.0001029676,0.00007085795,0.0004019475,0.0003571023,0.001721596,0.0008173708,0.0029664,0.004945494,0.01667736],"study_design_scores_gemma":[0.000008087576,0.0000410371,0.989289,0.00002740651,0.00002090947,0.0002093949,0.0002926741,0.00147053,0.0003711728,0.0004359926,0.007823606,0.00001017475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794313,0.002146103,0.0006352433,0.0006966478,0.00008868563,0.00001576718,0.006136619,0.00004232987,0.01080725],"genre_scores_gemma":[0.9910949,0.0007117607,0.0001793505,0.00006304139,0.0001090065,0.00001145115,0.006053619,0.000009553683,0.001767179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004417256,"threshold_uncertainty_score":0.008783102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03872796815608907,"score_gpt":0.2387150646755311,"score_spread":0.199987096519442,"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."}}