{"id":"W1978989819","doi":"10.3402/gha.v8.26616","title":"How decentralisation influences the retention of primary health care workers in rural Nigeria","year":2015,"lang":"en","type":"article","venue":"Global Health Action","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Sydney Medical School Foundation; University of Sydney; Rotary Foundation","keywords":"Decentralization; Community health; Government (linguistics); Economic growth; Health care; Rural health; Focus group; Central government; Local government; Nursing; Business; Public administration; Medicine; Political science; 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":[0.003262107,0.0001377404,0.0002659611,0.0006018038,0.004415533,0.00268068,0.000794059,0.0006051545,0.003765376],"category_scores_gemma":[0.01180251,0.0002476726,0.0001766223,0.0007055955,0.003236715,0.001475142,0.002912213,0.001219042,0.0001839918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003502205,"about_ca_system_score_gemma":0.00480294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02939378,"about_ca_topic_score_gemma":0.05625664,"domain_scores_codex":[0.9968971,0.001393037,0.0001511975,0.0002345754,0.0002998989,0.00102414],"domain_scores_gemma":[0.9928386,0.002347765,0.002037919,0.0002280615,0.0008608503,0.001686835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002649477,0.0003748898,0.5731274,0.0003086814,0.00004983331,0.001655082,0.386245,0.0003802335,0.001405974,0.002786699,0.001696632,0.03170454],"study_design_scores_gemma":[0.00002183857,0.0002737532,0.3610143,0.0003710372,0.00002351551,0.0004434859,0.6295083,0.0002873816,0.0001881473,0.0009873003,0.006853567,0.0000272909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958447,0.0002021951,0.0001163736,0.00110298,0.00001637284,0.00001963076,0.00001239433,0.000002068613,0.002683274],"genre_scores_gemma":[0.9994482,0.00006958082,0.00004124627,0.00008123316,0.000006005358,0.000006293916,0.000006036561,0.000001079559,0.0003402595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02939378,"threshold_uncertainty_score":0.05844539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03843666475518168,"score_gpt":0.3497202102869444,"score_spread":0.3112835455317627,"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."}}