{"id":"W3149322545","doi":"10.2139/ssrn.3461480","title":"China's Impact on Global Financial Markets","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"China; Business; Financial market; Financial system; Finance; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007812097,0.0003114907,0.0003120227,0.001311885,0.0009656142,0.002925,0.0002945525,0.0008543553,0.006458916],"category_scores_gemma":[0.001354152,0.0001217032,0.0003840302,0.002004978,0.0009930137,0.001154577,0.001415549,0.0007573041,0.000264796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003676954,"about_ca_system_score_gemma":0.005652525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09504982,"about_ca_topic_score_gemma":0.1460342,"domain_scores_codex":[0.9996483,0.00004292902,0.00001959815,0.00003476856,0.00007951191,0.0001748958],"domain_scores_gemma":[0.9989855,0.0001210268,0.0003441126,0.00004075812,0.0001820159,0.0003266313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008652637,0.0002131221,0.7840851,0.0005473547,0.0003235008,0.003194044,0.00386006,0.008028849,0.002823969,0.1029463,0.02994058,0.06317189],"study_design_scores_gemma":[0.00004493857,0.0001269389,0.9644403,0.00006221171,0.0001048095,0.0001416245,0.002160705,0.002749374,0.0005081833,0.004655516,0.02496718,0.00003817955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542791,0.002272219,0.0001181062,0.008631615,0.0001511339,0.00001564365,0.001027839,0.00002828456,0.03347605],"genre_scores_gemma":[0.9959642,0.0006926539,0.00002828105,0.0004635447,0.00006985076,0.000003089791,0.0001929385,0.000005306306,0.002580219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09504982,"threshold_uncertainty_score":0.1889932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005783630346277513,"score_gpt":0.2239864099483344,"score_spread":0.2182027796020569,"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."}}