{"id":"W2948542676","doi":"10.1111/jjns.12263","title":"Factors related to perioperative nurses' job satisfaction and intention to leave","year":2019,"lang":"en","type":"article","venue":"Japan Journal of Nursing Science","topic":"Nursing education and management","field":"Nursing","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Job satisfaction; Workload; Logistic regression; Emotional exhaustion; Nursing; Multivariate statistics; Stratified sampling; Psychology; Variance (accounting); Bayesian multivariate linear regression; Sample (material); Multivariate analysis; Perioperative nursing; Regression analysis; Multivariate analysis of variance; Perioperative; Medicine; Burnout; Social psychology; Clinical psychology; Statistics; Business","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":[0.0007009589,0.0001432336,0.0001717246,0.0003240507,0.0002745748,0.0004315673,0.0001524302,0.0002422282,0.001751547],"category_scores_gemma":[0.00374359,0.00008650477,0.0002547935,0.0002204121,0.0002553404,0.0001626382,0.0002938507,0.0004300518,0.0001684668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002200186,"about_ca_system_score_gemma":0.0006787123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005517941,"about_ca_topic_score_gemma":0.006319067,"domain_scores_codex":[0.9995818,0.0001223254,0.00004820596,0.00003535593,0.0001147476,0.00009760725],"domain_scores_gemma":[0.9969873,0.0007572381,0.001159,0.0000671971,0.0003145273,0.000714771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003735556,0.00008970391,0.9980768,0.000008964947,0.00001732076,0.00001666557,0.0001344385,0.00003057589,0.0001097683,0.000007144992,0.00002206906,0.001449303],"study_design_scores_gemma":[0.000001433672,0.0000600062,0.9995024,0.000005355204,0.000006059926,0.0000263659,0.0002392656,0.00007700152,0.00003095882,0.000009180266,0.00004061656,0.000001281944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996001,0.00007543375,0.0000564774,0.00003505003,0.000002562673,0.00000326961,0.00002199564,0.000001123491,0.0002039365],"genre_scores_gemma":[0.9997658,0.00003577194,0.00003728526,0.00001219099,0.000002515969,0.000003427472,0.00004106322,5.464191e-7,0.0001013758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005517941,"threshold_uncertainty_score":0.01097161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576925602400436,"score_gpt":0.3451660297446722,"score_spread":0.3193967737206678,"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."}}