{"id":"W2026929525","doi":"10.1111/1468-2435.00242","title":"Migration of Highly Skilled Chinese to Europe: Trends and Perspective","year":2003,"lang":"en","type":"article","venue":"International Migration","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Population; Investment (military); Economic growth; Political science; Development economics; Demographic economics; Economics; Sociology; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003969841,0.00009511087,0.0001138363,0.0002602766,0.0001527327,0.00006959413,0.0001178814,0.00005658791,0.0003241007],"category_scores_gemma":[0.0007433485,0.00009148265,0.00004525321,0.0003965053,0.00006838516,0.0004065806,0.00001257661,0.00005347692,0.00002742545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000118001,"about_ca_system_score_gemma":0.0000717897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007496516,"about_ca_topic_score_gemma":0.1013571,"domain_scores_codex":[0.9990236,0.0001351327,0.0002466355,0.000215684,0.0002650653,0.0001138553],"domain_scores_gemma":[0.9991001,0.00007928463,0.0001236952,0.00008796771,0.0005295184,0.00007940266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008063071,0.0002370447,0.2108293,0.000006797253,0.00008947955,0.000001511785,0.1713313,0.0002666485,0.00522564,0.5994349,0.008339774,0.004156964],"study_design_scores_gemma":[0.001153352,0.0002513524,0.6587143,0.00004408079,0.0000407111,0.000005990521,0.01675715,0.001252427,0.003516478,0.01603141,0.3016836,0.0005490951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293684,0.00007758528,0.001214301,0.008100681,0.0003746047,0.0001372777,0.00001322399,0.0000305902,0.06068335],"genre_scores_gemma":[0.9915553,0.000173858,0.0006716488,0.0002048516,0.0002251836,0.00001887074,0.00002436813,0.000007423028,0.007118467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5834035,"threshold_uncertainty_score":0.9991127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178945024160478,"score_gpt":0.3086956581217168,"score_spread":0.296906207880112,"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."}}