{"id":"W2040898268","doi":"10.1108/14691930210435633","title":"Voluntary turnover: knowledge management – friend or foe?","year":2002,"lang":"en","type":"article","venue":"Journal of Intellectual Capital","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":246,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Intellectual capital; Human capital; Business; Workforce; Human resource management; Portfolio; Human resources; Knowledge economy; Knowledge worker; Turnover; Valuation (finance); Service (business); Competitive advantage; Finance; Marketing; Public relations; Economics; Management; Economic growth","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":[0.006065951,0.000264671,0.000377831,0.00128342,0.007782576,0.008238977,0.001384737,0.003940247,0.004226435],"category_scores_gemma":[0.02143871,0.0001817249,0.000273776,0.001374258,0.007371033,0.005850194,0.003178157,0.002896632,0.001023931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00690124,"about_ca_system_score_gemma":0.01040729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05913723,"about_ca_topic_score_gemma":0.1049308,"domain_scores_codex":[0.9945027,0.002082989,0.0001597905,0.000304781,0.001275486,0.001674271],"domain_scores_gemma":[0.9883062,0.00250045,0.001946241,0.0005391058,0.00250071,0.004207212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009804596,0.0001613912,0.06249148,0.0004005667,0.00005885392,0.001427846,0.09321567,0.0001440288,0.0004516281,0.03182434,0.2146825,0.5950437],"study_design_scores_gemma":[0.00002578658,0.0001819062,0.07821145,0.002862682,0.00006482171,0.004240596,0.3567304,0.001096852,0.000577416,0.07086897,0.4849726,0.0001665511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1508344,0.02439702,0.003855937,0.7594556,0.003595722,0.00004035469,0.0001196708,0.0001575795,0.05754372],"genre_scores_gemma":[0.9493408,0.006000874,0.001097645,0.02953929,0.001429133,0.00002299162,0.00005697095,0.0000467752,0.01246564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05913723,"threshold_uncertainty_score":0.117586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255804380812817,"score_gpt":0.2245287140665336,"score_spread":0.1989482759852519,"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."}}