{"id":"W1992275003","doi":"10.12927/cjnl.2005.17036","title":"Human Resource Management Strategies and the Retention of Older RNs","year":2005,"lang":"en","type":"article","venue":"Nursing leadership","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Workforce; Incentive; Business; Human resource policies; Human resources; Human resource management; Workforce planning; Work (physics); Callback; Resource (disambiguation); Compensation (psychology); Aging in the American workforce; Nursing; Psychology; Public relations; Knowledge management; Medicine; Management; Political science; Economic growth; Social psychology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001082714,0.00007088958,0.0001014933,0.00003417839,0.0004333197,0.0001150218,0.0001454189,0.00004879157,0.00006440059],"category_scores_gemma":[0.00001515506,0.0000550013,0.00005292675,0.0001004303,0.001426482,0.0001683469,0.000009905668,0.00007632817,0.000004201962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009754359,"about_ca_system_score_gemma":0.00001447973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002334939,"about_ca_topic_score_gemma":0.000346839,"domain_scores_codex":[0.9988261,0.0002728212,0.0001688188,0.0001613725,0.0003335958,0.0002372302],"domain_scores_gemma":[0.9996585,0.00004256062,0.00007038418,0.0001642394,0.00002223317,0.00004208467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005701899,0.0002013542,0.001955032,0.0001492437,0.00003833357,4.281608e-7,0.1920264,0.00003233568,0.0000898417,0.7553031,0.003574157,0.04657273],"study_design_scores_gemma":[0.001191479,0.00005012796,0.05350474,0.0003637681,0.00009527514,3.487548e-7,0.9127507,0.00001944519,0.00009134289,0.02330847,0.008471797,0.0001525096],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4850399,0.0007077288,0.0001386495,0.04648475,0.0001612647,0.0006960251,6.657549e-7,0.00007797025,0.466693],"genre_scores_gemma":[0.9967681,0.00001751893,0.000101411,0.0001374531,0.0001722487,0.000008901148,0.000001465648,0.000005985441,0.002786902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7319946,"threshold_uncertainty_score":0.5255931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4423321513685428,"score_gpt":0.4197235746384518,"score_spread":0.02260857673009103,"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."}}