{"id":"W2294881683","doi":"","title":"Chinese Investment Emigration is Surging","year":2014,"lang":"en","type":"article","venue":"中国对外贸易：英文版","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emigration; Real estate; Investment (military); Business; Geography; Economy; Political science; Economics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000536843,0.000249778,0.00021547,0.0004871717,0.002865335,0.002150614,0.0002826936,0.0005214257,0.01554078],"category_scores_gemma":[0.0007911549,0.00009386442,0.0002835066,0.001502255,0.001221865,0.001159247,0.001098309,0.0008825,0.001444974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002171995,"about_ca_system_score_gemma":0.00501738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0711911,"about_ca_topic_score_gemma":0.09432317,"domain_scores_codex":[0.9997358,0.00002620427,0.00001066415,0.00002364348,0.00006366328,0.0001401132],"domain_scores_gemma":[0.9992932,0.00003452279,0.00007633241,0.00003343971,0.0001933282,0.0003690763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002985992,0.0002053638,0.2687487,0.0008028502,0.0001548608,0.002865585,0.01396507,0.0003673994,0.003107631,0.06478479,0.3040737,0.3406253],"study_design_scores_gemma":[0.00003004919,0.0002036235,0.3456534,0.0003513774,0.00008342683,0.0009722932,0.03282169,0.0004426109,0.001261591,0.005426134,0.6126879,0.00006580123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7027118,0.01176797,0.0005997025,0.128355,0.00307171,0.00003876563,0.0008640757,0.0002664371,0.1523246],"genre_scores_gemma":[0.9193486,0.01042235,0.0004396209,0.01113957,0.0007323672,0.00001712308,0.0005399846,0.00003941595,0.05732104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0711911,"threshold_uncertainty_score":0.1415535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178422842885875,"score_gpt":0.3004263945546143,"score_spread":0.2825841102660269,"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."}}