{"id":"W1997388753","doi":"10.1111/j.1365-2834.2009.00988.x","title":"Developing human capital: what is the impact on nurse turnover?","year":2009,"lang":"en","type":"article","venue":"Journal of Nursing Management","topic":"Nursing education and management","field":"Nursing","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Turnover; Human capital; Nursing; Business; Human resources; Nursing shortage; Human resource management; Demographics; Medicine; Nurse education; Economic growth; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006143631,0.0002855904,0.000295435,0.0004750376,0.0003958536,0.0006107667,0.0005345349,0.00005484514,0.00007823967],"category_scores_gemma":[0.00001193338,0.000188671,0.0002961139,0.000382246,0.00008146033,0.0006188797,0.00001314992,0.000339487,0.00004076717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445066,"about_ca_system_score_gemma":0.00002372036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004172986,"about_ca_topic_score_gemma":3.768757e-7,"domain_scores_codex":[0.9979184,0.0001139645,0.0005941702,0.0002382359,0.000694901,0.0004403443],"domain_scores_gemma":[0.9986589,0.00004479175,0.0005568453,0.000463976,0.0001437132,0.0001317557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003752538,0.001196301,0.00003804045,0.00002702857,0.00021284,0.00004052541,0.008828362,0.0005171389,0.0002617666,0.0306648,0.2919186,0.6659193],"study_design_scores_gemma":[0.006546451,0.007273047,0.3806324,0.01819622,0.001573454,0.0004689705,0.05802542,0.0002554511,0.006708803,0.2500757,0.2684174,0.001826695],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6971337,0.001481778,0.00113304,0.2501073,0.02385221,0.0009656339,0.000001348426,0.0001175203,0.02520749],"genre_scores_gemma":[0.9891649,0.00009051018,0.0008846798,0.007611803,0.0005562055,0.000002335217,0.000002538495,0.00003122618,0.00165583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6640927,"threshold_uncertainty_score":0.7693779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03330238487054222,"score_gpt":0.3715927833582455,"score_spread":0.3382903984877033,"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."}}