{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003892332,0.0005169033,0.0004622542,0.001973002,0.001838696,0.002406467,0.001700256,0.001261725,0.09367393],"category_scores_gemma":[0.01849136,0.0003497255,0.0009785118,0.002713428,0.0006423129,0.002648672,0.005218786,0.001875526,0.01723421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002152142,"about_ca_system_score_gemma":0.006508924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276821,"about_ca_topic_score_gemma":0.01341784,"domain_scores_codex":[0.995821,0.001234505,0.0004563522,0.00052872,0.0008183657,0.001141035],"domain_scores_gemma":[0.9941439,0.001507212,0.0009271986,0.0008049075,0.001516292,0.001100414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000154803,0.0002412202,0.04367709,0.004318481,0.0001824258,0.0007260813,0.004037155,0.0003394856,0.0003157297,0.02098368,0.4301767,0.4948471],"study_design_scores_gemma":[0.00008055141,0.0002608923,0.06982716,0.006422929,0.0000885741,0.0008378757,0.007666411,0.0002910722,0.0003867316,0.008657599,0.9054481,0.00003213594],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1480921,0.06411654,0.01050541,0.1172153,0.02728673,0.002142038,0.03736615,0.0009201925,0.5923556],"genre_scores_gemma":[0.5982186,0.05721632,0.006745501,0.1085642,0.008277615,0.003661458,0.02530612,0.000524696,0.1914856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09367393,"threshold_uncertainty_score":0.3133705,"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."}}