{"id":"W3009804302","doi":"10.1057/s41308-020-00113-5","title":"The Determinants of China’s International Portfolio Equity Allocations","year":2020,"lang":"en","type":"article","venue":"IMF Economic Review","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Diversification (marketing strategy); Portfolio; Business; Comparative advantage; Equity (law); Foreign portfolio investment; Foreign direct investment; Foreign-exchange reserves; China; Economics; Capital account; Disadvantage; International economics; International trade; Finance; Production (economics); Exchange rate; Macroeconomics","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":[0.001153248,0.0002279974,0.0002603663,0.001467464,0.000328693,0.001670782,0.0002456091,0.0003583543,0.003035254],"category_scores_gemma":[0.002845155,0.0001339517,0.0002024274,0.002276922,0.000520235,0.0008025289,0.0005322772,0.0005247761,0.0002523361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0020779,"about_ca_system_score_gemma":0.002077517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04368727,"about_ca_topic_score_gemma":0.06722949,"domain_scores_codex":[0.9997857,0.00004168601,0.00001530296,0.00002351832,0.00005731979,0.00007649796],"domain_scores_gemma":[0.9985667,0.0002902483,0.0005136537,0.00006821124,0.0004151,0.0001461318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003411804,0.00009826858,0.6883578,0.0004956775,0.0005379067,0.0006080922,0.0009238767,0.01763316,0.001729997,0.1279403,0.03839748,0.1229363],"study_design_scores_gemma":[0.00002175702,0.00003683458,0.9621627,0.0001048356,0.0001700134,0.00006752829,0.0004074055,0.007101111,0.0006659225,0.007818173,0.02142242,0.00002128795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422637,0.01366867,0.0005783064,0.008103797,0.0001075485,0.00001780493,0.001205544,0.00003419654,0.03402048],"genre_scores_gemma":[0.995388,0.002683115,0.00005416078,0.0001070319,0.00004761052,0.000003349664,0.0001969029,0.000005163819,0.001514736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04368727,"threshold_uncertainty_score":0.08686596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06886839882795706,"score_gpt":0.320743229321985,"score_spread":0.2518748304940279,"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."}}