{"id":"W4232249854","doi":"10.1007/978-3-319-05544-2_293-1","title":"Migration","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Bioethics; Health care; Brain drain; Public relations; Sociology; Political science; Nursing; Medicine; Economic growth; Law; Economics","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":[0.000580473,0.0006352566,0.0002710729,0.0009269017,0.004107717,0.00379299,0.0009405997,0.001225742,0.1943929],"category_scores_gemma":[0.001047536,0.0002138243,0.0004597396,0.0009224741,0.001095571,0.002736094,0.003184159,0.002183361,0.0651886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519751,"about_ca_system_score_gemma":0.002954927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01143994,"about_ca_topic_score_gemma":0.02174415,"domain_scores_codex":[0.9996467,0.00007285863,0.00001488424,0.00007089041,0.00007886466,0.0001158443],"domain_scores_gemma":[0.9997421,0.00002169682,0.00001419129,0.0000434108,0.00009362615,0.00008499633],"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":[0.00002815606,0.00006069328,0.0005429716,0.0001172778,0.000003635066,0.0001762846,0.00335834,0.00009550706,0.0002422532,0.1894898,0.6541789,0.1517062],"study_design_scores_gemma":[0.000001589218,0.000006655579,0.0002410845,0.00005928638,9.774141e-7,0.0000572839,0.0009312467,0.00001645027,0.00003696436,0.004239541,0.9944067,0.00000223202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001933677,0.00102134,0.0007503134,0.004652892,0.003234091,0.00005230439,0.0001937653,0.0001156856,0.9880459],"genre_scores_gemma":[0.006802566,0.0006917029,0.0002819402,0.001107118,0.000186459,0.00002332449,0.00013715,0.00004538994,0.9907244],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1943929,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1577814636090371,"score_gpt":0.470682047757125,"score_spread":0.3129005841480879,"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."}}