{"id":"W2976832827","doi":"10.3386/w26311","title":"China’s Impact on Global Financial Markets","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"China; Business; Financial market; Financial system; Finance; Economics; Geography","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":[0.0004605445,0.0003043149,0.0002063144,0.001309314,0.0005277289,0.001483812,0.0001780759,0.0003060391,0.004813006],"category_scores_gemma":[0.0008367837,0.00008190245,0.0002878436,0.002194982,0.0004891374,0.0009026091,0.0009383825,0.0002892141,0.0002256241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468178,"about_ca_system_score_gemma":0.001769759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04779125,"about_ca_topic_score_gemma":0.08138004,"domain_scores_codex":[0.9998252,0.00002219056,0.000009242412,0.00002140268,0.00004351796,0.00007850157],"domain_scores_gemma":[0.9994468,0.00006065859,0.0002672445,0.0000280216,0.00007936877,0.0001179697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001491591,0.00006193594,0.9115577,0.0001802381,0.0001081505,0.001163293,0.001156041,0.003709078,0.001781385,0.01797674,0.008224763,0.05393158],"study_design_scores_gemma":[0.000007013914,0.00003252019,0.9888854,0.00002646304,0.00002172247,0.0000701454,0.0005215579,0.001816534,0.0002759904,0.0009716168,0.00736066,0.00001033332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9815057,0.0008052494,0.00007142791,0.001231443,0.0000196792,0.000009206336,0.0009347972,0.00001260527,0.01540991],"genre_scores_gemma":[0.9975394,0.0005656998,0.00004988578,0.0001276736,0.00002261906,0.000003316678,0.0004075211,0.000003085407,0.001280835],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04779125,"threshold_uncertainty_score":0.09502614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2548455276614179,"score_gpt":0.487619241406181,"score_spread":0.232773713744763,"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."}}