{"id":"W3213915048","doi":"10.32920/ryerson.14655096.v1","title":"Factors influencing turnover intentions of new graduate nurses employed in float pools","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Nursing education and management","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"Turnover intention; Float (project management); Job satisfaction; Turnover; Variance (accounting); Psychology; Multilevel model; Productivity; Nursing; Business; Medicine; Social psychology; Computer science; Engineering; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00077143,0.00009176854,0.000122394,0.0003157775,0.0004823858,0.0005962492,0.0001701976,0.0002320556,0.001599812],"category_scores_gemma":[0.003722418,0.0001084352,0.0001526025,0.0001958903,0.000307923,0.0002170091,0.0004048591,0.0003930851,0.0001939467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005735617,"about_ca_system_score_gemma":0.001043255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02291528,"about_ca_topic_score_gemma":0.06676262,"domain_scores_codex":[0.9996423,0.000102509,0.00002426646,0.00002310807,0.00009242682,0.0001153817],"domain_scores_gemma":[0.9978907,0.0005234851,0.0006544216,0.00004967505,0.0002690217,0.0006129001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002658161,0.0001292839,0.99609,0.00000636053,0.000005541889,0.00002627689,0.001261638,0.00001433203,0.0001270689,0.000009685349,0.00007511097,0.002227978],"study_design_scores_gemma":[0.00000155479,0.00008782854,0.9956627,0.00000938816,0.000002382998,0.00002259257,0.00400311,0.00006741874,0.00002616549,0.000008447714,0.0001066188,0.000001707765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997733,0.00001812199,0.00001003863,0.00002752931,0.000001377567,0.000002653705,0.000008732971,2.091415e-7,0.00015788],"genre_scores_gemma":[0.9996076,0.00003728356,0.00003256523,0.00002968111,0.000001971083,0.000005719888,0.00002810113,3.888885e-7,0.0002566689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02291528,"threshold_uncertainty_score":0.04556376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003243306873591,"score_gpt":0.3558510262995458,"score_spread":0.2555266956121867,"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."}}