{"id":"W1830058098","doi":"10.1002/j.2051-5545.2009.tb00225.x","title":"Report of the WPA Task Force on Brain Drain","year":2009,"lang":"en","type":"article","venue":"World Psychiatry","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Medicine; Brain drain; Health care; Emigration; Developing country; Human resources; Global health; Economic growth; Development economics; Public health; Nursing; Political science","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":[0.01389429,0.003156619,0.001799977,0.00570117,0.001761716,0.004695073,0.005026489,0.004037109,0.02082685],"category_scores_gemma":[0.02539088,0.001318085,0.001917036,0.007353268,0.0009646161,0.00335506,0.005866531,0.005884298,0.00873045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00531461,"about_ca_system_score_gemma":0.04256568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0688196,"about_ca_topic_score_gemma":0.03836079,"domain_scores_codex":[0.9915506,0.001767556,0.00116224,0.0003555692,0.003801704,0.001362316],"domain_scores_gemma":[0.9829118,0.002421798,0.002237152,0.0006169536,0.0089518,0.002860391],"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":[0.00007058206,0.000084329,0.003671183,0.002056307,0.0001214728,0.0001724653,0.0004298563,0.0002531015,0.0001312529,0.002425795,0.9357394,0.05484423],"study_design_scores_gemma":[0.00006490776,0.00004120504,0.01610875,0.007689181,0.00008859394,0.0001540824,0.00103668,0.0001810164,0.0002993526,0.001603268,0.972683,0.00004982582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01161222,0.0860633,0.008589837,0.2248921,0.06435724,0.01331892,0.3668063,0.001599018,0.222761],"genre_scores_gemma":[0.0703357,0.2383685,0.02881126,0.104538,0.01275449,0.04159224,0.3289501,0.001995686,0.1726541],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0688196,"threshold_uncertainty_score":0.136838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098353306694763,"score_gpt":0.3979148317406044,"score_spread":0.3769312986736568,"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."}}