{"id":"W3140773862","doi":"","title":"Recruitment and retention of professional labour: the health workforce at settlement level","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Health Services Management and Policy","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Workforce; Business; Employee retention; Labour economics; Demographic economics; Economic growth; Economics; Marketing; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006609451,0.0001888106,0.0004193158,0.0006414885,0.005997322,0.006679948,0.001116352,0.003726567,0.008705324],"category_scores_gemma":[0.008883186,0.0003188845,0.0003567228,0.0009674111,0.005701819,0.005345659,0.008350726,0.002155795,0.001201542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004897256,"about_ca_system_score_gemma":0.01434771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008442441,"about_ca_topic_score_gemma":0.01717808,"domain_scores_codex":[0.9946842,0.003229134,0.0001148095,0.0002423722,0.0005590961,0.001170482],"domain_scores_gemma":[0.9973276,0.001240158,0.0002526218,0.00009344529,0.0003138142,0.0007723469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001001529,0.0005142545,0.02254228,0.000790382,0.00001688816,0.0006837222,0.1445063,0.001639425,0.0009115305,0.5491804,0.02873264,0.250382],"study_design_scores_gemma":[0.00007261064,0.0005399029,0.0516376,0.003331178,0.0000264106,0.000722847,0.2782017,0.002679673,0.0007001134,0.3204458,0.3415685,0.00007370628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3075196,0.01381653,0.04118968,0.2533608,0.001397403,0.0007804853,0.000137588,0.00007878288,0.3817191],"genre_scores_gemma":[0.9284838,0.00714118,0.009872574,0.008180457,0.0004736942,0.0005073878,0.0000691164,0.00002327906,0.04524841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008705324,"threshold_uncertainty_score":0.03553224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3054883484695673,"score_gpt":0.510478220361017,"score_spread":0.2049898718914497,"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."}}