{"id":"W2009480311","doi":"10.12927/whp.2013.18149","title":"A Prescription for Improvement: A Short Survey to Identify Reasons behind Public Sector Pharmacists' Migration","year":2006,"lang":"en","type":"article","venue":"World health & population","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacy; Public sector; Private sector; Medical prescription; Business; Emigration; Order (exchange); Medicine; Population; Public health; Pharmacist; Family medicine; Economic growth; Nursing; Environmental health; Finance; Political science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001758744,0.0001639634,0.0003198227,0.0007082579,0.000329922,0.0001810304,0.0001119535,0.00006605572,0.0001029625],"category_scores_gemma":[0.0002175497,0.0001913949,0.0001004365,0.000464579,0.00001063239,0.0004431784,0.0000204618,0.0000995353,0.00006969436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004563688,"about_ca_system_score_gemma":0.00005121146,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01065376,"about_ca_topic_score_gemma":0.05152896,"domain_scores_codex":[0.9981035,0.00007550649,0.0008887348,0.0003989878,0.00007775556,0.0004555346],"domain_scores_gemma":[0.9990882,0.00008079177,0.0003441965,0.000237243,0.0000707403,0.0001788646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002185377,0.0001806666,0.9147168,0.0001069123,0.00002322689,2.882899e-7,0.0004120032,0.0001176009,0.0004515558,0.009891739,0.06144922,0.01243147],"study_design_scores_gemma":[0.0004317433,0.0001349116,0.940985,0.00001753354,0.000004441009,8.315324e-7,0.000008955045,0.002519393,0.00005799905,0.002726402,0.05290696,0.0002057898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721191,0.0005695533,0.01828517,0.004864254,0.0008409484,0.001780819,0.001031663,0.00009356776,0.000414907],"genre_scores_gemma":[0.9893418,0.00003123705,0.0008869292,0.0005543456,0.0003886073,0.0001830887,0.00193904,0.00003496208,0.006639983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0408752,"threshold_uncertainty_score":0.9959344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011470935735999,"score_gpt":0.3582969560896209,"score_spread":0.257149862516021,"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."}}