{"id":"W4381736699","doi":"10.1017/9781009217781","title":"Global Health Worker Migration","year":2023,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Workforce; Distribution (mathematics); Element (criminal law); Health care; Key (lock); Circulation (fluid dynamics); Political science; Economic growth; Economics; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008459662,0.0007176457,0.0002691931,0.001012302,0.002272849,0.004009629,0.0005092795,0.002680186,0.03524043],"category_scores_gemma":[0.001138665,0.0001971784,0.0004057346,0.00190387,0.002861935,0.00394595,0.003703957,0.002242286,0.008614326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002516498,"about_ca_system_score_gemma":0.003850278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006581093,"about_ca_topic_score_gemma":0.01047555,"domain_scores_codex":[0.9995829,0.0001325356,0.00001234807,0.00005384606,0.00009531083,0.0001229639],"domain_scores_gemma":[0.9997573,0.00007586395,0.00001739118,0.00002900931,0.00004836672,0.00007198165],"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":[0.00001068369,0.00001506112,0.0003568903,0.0003246358,0.000003169215,0.0001543847,0.006202919,0.00007750543,0.0001643742,0.2041667,0.6829664,0.1055573],"study_design_scores_gemma":[0.000001627638,0.000005958874,0.0003082832,0.0002046208,0.000001089302,0.00008857151,0.001390933,0.00001095664,0.00001794223,0.007600304,0.990368,0.000001829722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00237264,0.04902935,0.0007715647,0.05715398,0.0122647,0.00006765892,0.0001317892,0.0001012713,0.8781071],"genre_scores_gemma":[0.03053365,0.05525844,0.00136839,0.03913928,0.004786008,0.0001849782,0.0002472675,0.0001559549,0.8683261],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03524043,"threshold_uncertainty_score":0.117891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04866959616420994,"score_gpt":0.3579896602516347,"score_spread":0.3093200640874247,"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."}}