{"id":"W2302180749","doi":"","title":"Facility Turnover and Vacancy Rates of Registered Nurses: Do They Predict How Nurses Are Recruited?","year":2009,"lang":"en","type":"article","venue":"Asia Pacific Journal of Health Management","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turnover; Health care; Business; Healthcare industry; Nursing; Economic shortage; Medicine; Management; Economics; Economic growth; Government (linguistics)","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":[0.002632655,0.0001499819,0.0002058931,0.0005331823,0.000270835,0.0008229861,0.0006979114,0.0006948652,0.002576734],"category_scores_gemma":[0.01882377,0.00019824,0.0003208212,0.0005337328,0.0003004018,0.0005994904,0.0004753624,0.0006207695,0.0007711492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004370402,"about_ca_system_score_gemma":0.0006361172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01269987,"about_ca_topic_score_gemma":0.02137485,"domain_scores_codex":[0.9987006,0.0005407485,0.0001500554,0.0001267588,0.000312601,0.0001692482],"domain_scores_gemma":[0.9887198,0.003261938,0.004786117,0.0002952385,0.001118591,0.001818382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003304648,0.00002854978,0.9983963,0.00000444962,0.0000075108,0.000006700802,0.00007127971,0.00003284236,0.00001579779,0.000004454689,0.00006696346,0.001331882],"study_design_scores_gemma":[0.000001785256,0.00005172255,0.9992249,0.000008890861,0.000003174545,0.00002503724,0.0002613218,0.0003312301,0.00001147581,0.00001060755,0.00006775732,0.000002036368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991884,0.0001655472,0.00009736128,0.00007773378,0.000006157648,0.00000729819,0.0001055593,0.000003293752,0.0003485873],"genre_scores_gemma":[0.9993412,0.00007179966,0.0001109067,0.00002094149,0.000004961694,0.000008284389,0.0002117296,0.000001671925,0.0002284471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01269987,"threshold_uncertainty_score":0.02525192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09290610725384293,"score_gpt":0.4107057481801264,"score_spread":0.3177996409262834,"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."}}