{"id":"W7096128573","doi":"","title":"including © notice, is given to the source. Brain Drain or Brain Bank? The Impact of Skilled Emigration on Poor-Country Innovation","year":2008,"lang":"en","type":"article","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brain drain; Emigration; Human capital","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000504768,0.000574281,0.0006869416,0.001457667,0.001350586,0.003521278,0.0009225458,0.003011824,0.8249263],"category_scores_gemma":[0.007100549,0.0003073707,0.0004983304,0.002518211,0.000409136,0.002573204,0.001606187,0.001948635,0.5359895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117615,"about_ca_system_score_gemma":0.001719937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213412,"about_ca_topic_score_gemma":0.021859,"domain_scores_codex":[0.9997485,0.00003055752,0.00002463047,0.00003436399,0.00009705911,0.00006486338],"domain_scores_gemma":[0.996649,0.001165914,0.000268554,0.000258478,0.00110078,0.0005573265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002034331,0.00000992927,0.0001510673,0.00003967733,0.000001129707,0.00001662891,0.00002054781,0.00001265975,0.00004765282,0.001302544,0.989268,0.00910987],"study_design_scores_gemma":[0.00002915187,0.000017218,0.002406269,0.0001009291,0.000004147646,0.00002625239,0.0002058659,0.0001171276,0.0002226186,0.001106942,0.9957516,0.00001191709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001678183,0.002482137,0.0006418065,0.100954,0.02411578,0.0001964684,0.03262093,0.002123271,0.8351874],"genre_scores_gemma":[0.006697618,0.001651164,0.000209013,0.003543843,0.002629391,0.00006621956,0.004587416,0.0007057487,0.9799096],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8249263,"threshold_uncertainty_score":0.2497213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04381049628639345,"score_gpt":0.3420152745779572,"score_spread":0.2982047782915638,"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."}}