{"id":"W4383223919","doi":"10.1016/j.mayocp.2023.02.035","title":"Skilled Health Workforce Emigration","year":2023,"lang":"en","type":"article","venue":"Mayo Clinic Proceedings","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"George Institute for Global Health; AstraZeneca","keywords":"Workforce; Global health; Medicine; Economic growth; Social determinants of health; Health policy; Health care; Human resources; Health human resources; International health; Environmental health; Public health; Political science; Nursing; Economics","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003469461,0.0002935497,0.0006244346,0.0002583778,0.001505777,0.00002759198,0.0003948681,0.0004029696,0.001224491],"category_scores_gemma":[0.001220488,0.000272131,0.0001269708,0.001861372,0.0000779469,0.0002727856,0.0002356498,0.001021911,0.01589699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004539923,"about_ca_system_score_gemma":0.0005144515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003104193,"about_ca_topic_score_gemma":0.0001268603,"domain_scores_codex":[0.9954838,0.0001224509,0.0015613,0.0006395725,0.0005464017,0.001646507],"domain_scores_gemma":[0.9974412,0.0006316044,0.0007749467,0.0002736228,0.0003710164,0.0005075631],"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":[0.000114549,0.00004365277,0.147626,0.0006474624,0.00001455186,0.000002648397,0.01013903,0.000001568313,0.00001689297,0.00659334,0.8246546,0.01014572],"study_design_scores_gemma":[0.001769501,0.0003832754,0.05514311,0.00207635,0.00001712116,0.000002858277,0.02349347,0.0005501965,0.00001077056,0.00513649,0.9109889,0.000427975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8153481,0.0007083422,0.0000479027,0.03852956,0.003458165,0.003529147,0.00002843156,0.003784918,0.1345654],"genre_scores_gemma":[0.7767953,0.003217723,0.001185039,0.02034208,0.001886994,0.0008186749,0.0001630039,0.000143716,0.1954475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09248291,"threshold_uncertainty_score":0.9999731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074296804441356,"score_gpt":0.5002561675786771,"score_spread":0.3928264871345415,"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."}}