{"id":"W2147203282","doi":"10.1111/j.1467-999x.2009.04082.x","title":"A STUDY OF THE DIVERSIFICATION OF CHINA'S FOREIGN RESERVES WITHIN A THREE‐COUNTRY STOCK‐FLOW CONSISTENT MODEL","year":2009,"lang":"en","type":"article","venue":"Metroeconomica","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"","keywords":"Diversification (marketing strategy); Economics; China; Portfolio; Imperfect; Stock (firearms); Foreign-exchange reserves; Exchange rate; Monetary economics; Financial economics; International economics; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008916572,0.0001857463,0.0006180385,0.0002311767,0.0001240932,0.00003289442,0.0006461988,0.00009148109,0.00009277702],"category_scores_gemma":[0.0001076066,0.0001764513,0.0002061179,0.0001719557,0.0001214363,0.0002325754,0.000105714,0.0001601213,0.00003281208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346994,"about_ca_system_score_gemma":0.00004450598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004796655,"about_ca_topic_score_gemma":0.0002721029,"domain_scores_codex":[0.998209,0.00004323659,0.001102891,0.0003945015,0.00002302375,0.0002273447],"domain_scores_gemma":[0.9977989,0.00006346624,0.001148109,0.0009026533,0.00002568637,0.00006118208],"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":[0.0001531778,0.0006005936,0.1422701,0.00002382818,0.0001819882,3.100612e-7,0.002748043,0.02481803,0.00005775692,0.8284858,0.0002889874,0.0003713892],"study_design_scores_gemma":[0.002979433,0.0008370589,0.3936895,0.00003093778,0.0000803057,0.00000393396,0.001642902,0.1030083,0.0007332943,0.4961906,0.0003264465,0.0004772783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755127,0.0002113464,0.0003159542,0.0002959203,0.0001539823,0.0005584158,0.0003486926,0.00001676253,0.02258627],"genre_scores_gemma":[0.9988695,0.00001238771,0.00056606,0.0001123806,0.00004564685,0.00001795175,0.000006485304,0.00001624856,0.0003532743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3322951,"threshold_uncertainty_score":0.7195476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04801302593191906,"score_gpt":0.2369854197488347,"score_spread":0.1889723938169156,"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."}}