{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005652843,0.000591416,0.000959144,0.0002039396,0.001547642,0.00002215347,0.0007638451,0.001226099,0.00002024996],"category_scores_gemma":[0.00005558722,0.000693431,0.0002645119,0.0001079798,0.0001949675,0.0001070199,0.0007336183,0.001391124,0.0008541173],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006743617,"about_ca_system_score_gemma":0.004595653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004592494,"about_ca_topic_score_gemma":0.001240928,"domain_scores_codex":[0.9954609,0.0008208199,0.0007552248,0.0008983146,0.0006388604,0.001425925],"domain_scores_gemma":[0.9965875,0.0003558584,0.0009634328,0.000981651,0.0003879366,0.0007236334],"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":[0.0001133033,0.000009043808,0.0001343763,0.0005602508,0.00006475375,0.0001217076,0.0001937873,0.000005195812,6.397669e-8,0.2473724,0.7498265,0.001598659],"study_design_scores_gemma":[0.000786331,0.00008580331,0.0006483793,0.002701343,0.00008810705,0.000003898486,0.0006518813,0.00005963517,2.282643e-7,0.00004250697,0.9944964,0.0004354776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002134425,0.0005988156,0.000255205,0.0005501608,0.002703699,0.0024674,0.001570271,0.00125436,0.9903867],"genre_scores_gemma":[0.0000949945,0.0006144171,0.0001216358,0.00135377,0.0008801114,0.00001176619,0.0009142203,0.0001032666,0.9959058],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2473299,"threshold_uncertainty_score":0.9999238,"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."}}