{"id":"W2470643014","doi":"10.1080/08911916.2016.1185318","title":"Does U.S. Pressure Lead to Changes in China’s Exchange Rate?","year":2016,"lang":"en","type":"article","venue":"International Journal of Political Economy","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Renminbi; Granger causality; China; Economics; Liberian dollar; Exchange rate; Monetary economics; Vector autoregression; International economics; Us dollar; Lead (geology); Political science; Econometrics; Law; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005981725,0.0001434642,0.000397681,0.000572187,0.00001845024,0.00007137793,0.0005592863,0.00009145219,0.00109479],"category_scores_gemma":[0.0003219581,0.00009622761,0.0001305086,0.00005337028,0.00006936947,0.0004507888,0.0001034495,0.0001411026,0.0005078405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002852476,"about_ca_system_score_gemma":0.00003312657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001565935,"about_ca_topic_score_gemma":0.0001145054,"domain_scores_codex":[0.9984809,0.00002238099,0.0008060797,0.0002375555,0.00003510581,0.0004179585],"domain_scores_gemma":[0.9990939,0.0001266839,0.0003180867,0.0001431601,0.00006483793,0.000253352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006833294,0.00008221452,0.03427565,0.00001318804,0.000111357,0.00002113291,0.0001766173,0.000004322096,0.00003986382,0.961282,0.002173185,0.001752135],"study_design_scores_gemma":[0.001217585,0.0001257763,0.1216999,0.00007825456,0.000004809333,0.00002647765,0.00003775212,0.0000642098,0.0008862931,0.6104624,0.2651666,0.0002299315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2842923,0.0003483595,0.00235584,0.4210349,0.004707215,0.0002762082,0.0006251133,0.00002473015,0.2863353],"genre_scores_gemma":[0.9923449,0.00002111743,0.0001594466,0.004356921,0.00166205,0.00001102437,0.000001368442,0.00001753899,0.001425643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7080526,"threshold_uncertainty_score":0.9998183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287985342946076,"score_gpt":0.25202527790976,"score_spread":0.2291454244802992,"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."}}