{"id":"W2597910152","doi":"10.1186/s12960-017-0198-z","title":"An examination of the causes, consequences, and policy responses to the migration of highly trained health personnel from the Philippines: the high cost of living/leaving—a mixed method study","year":2017,"lang":"en","type":"article","venue":"Human Resources for Health","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Context (archaeology); Health policy; Health services research; Economic growth; Sierra leone; Underemployment; Health care; Medicine; Business; Socioeconomics; Sociology; Economics; Geography; Unemployment","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03705522,0.0006449423,0.0008521253,0.004375485,0.003323991,0.003629173,0.001670509,0.001578217,0.002063332],"category_scores_gemma":[0.05405813,0.0006468839,0.001465788,0.005251232,0.001960167,0.003371222,0.00369828,0.00119277,0.0001786673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006399172,"about_ca_system_score_gemma":0.009379024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01712633,"about_ca_topic_score_gemma":0.03009551,"domain_scores_codex":[0.9766856,0.01760557,0.001871959,0.0009734702,0.001494381,0.001369033],"domain_scores_gemma":[0.9475539,0.03558178,0.009630091,0.001486636,0.005053094,0.000694504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004262064,0.0007169447,0.6265024,0.009016519,0.001033754,0.001324838,0.2854772,0.0003087695,0.0005515968,0.003374366,0.00176692,0.06950045],"study_design_scores_gemma":[0.0000470376,0.0009609832,0.2845529,0.005687348,0.0006133101,0.0003961082,0.6987687,0.001241436,0.0004615023,0.001180943,0.006007737,0.00008207227],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887921,0.00449718,0.001537617,0.001932652,0.00006509912,0.001125537,0.000481024,0.000007415366,0.001561295],"genre_scores_gemma":[0.9896845,0.002874804,0.002611062,0.001254819,0.00004417695,0.002763682,0.0002437175,0.000008727284,0.0005146228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03705522,"threshold_uncertainty_score":0.1959691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047767816000848,"score_gpt":0.4782043138113903,"score_spread":0.3734275322113055,"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."}}