{"id":"W2076667237","doi":"10.5509/2008812195","title":"The Limits of Brain Circulation: Chinese Returnees and Technological Development in Beijing","year":2008,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Beijing; Circulation (fluid dynamics); Political science; China; Engineering; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007309248,0.00005581122,0.00009359245,0.00004565232,0.000493417,0.00001580143,0.0001000459,0.0000776528,0.00002125403],"category_scores_gemma":[0.0004197592,0.00003944174,0.00001800613,0.0002316308,0.0004231745,0.00008981148,0.00001851538,0.00007485739,0.000004417756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003921771,"about_ca_system_score_gemma":0.00007420808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004964634,"about_ca_topic_score_gemma":0.003900815,"domain_scores_codex":[0.9993522,0.00007016675,0.0001885188,0.0001209916,0.0001244619,0.0001437081],"domain_scores_gemma":[0.999556,0.0002391427,0.00006237189,0.00008172943,0.00002850868,0.00003223748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007822337,0.00003678731,0.8360799,0.000008706296,0.000009749792,0.000003102488,0.1380417,0.00001966275,0.0001391499,0.0162998,0.0002838934,0.009069677],"study_design_scores_gemma":[0.0002640323,0.00001823174,0.6477405,0.00002740173,0.000002256856,0.000005803863,0.3323362,0.0001794537,0.0001341209,0.004056409,0.01502599,0.0002095524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9028346,0.0004220362,0.0000896866,0.001431653,0.00005061363,0.0001356043,3.711508e-7,0.00003226317,0.09500315],"genre_scores_gemma":[0.9989795,0.0003396997,0.0002494168,0.00000397555,0.00003159332,0.00001119912,0.000001033463,0.000002573725,0.0003810048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1942945,"threshold_uncertainty_score":0.3795014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02921495131324136,"score_gpt":0.2698080614896358,"score_spread":0.2405931101763944,"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."}}