{"id":"W4293731922","doi":"10.1109/tem.2022.3196585","title":"One Size Does Not Fit All: Global Perspectives on IT Worker Turnover","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Engineering Management","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Workforce; Context (archaeology); Politics; Scale (ratio); Test (biology); Cultural diversity; Regional science; Economics; Demographic economics; Political science; Geography; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005036169,0.0003250166,0.0003672076,0.002940142,0.001735303,0.00437828,0.0005954527,0.0007849752,0.003715201],"category_scores_gemma":[0.01095226,0.0001650234,0.0005351459,0.004412276,0.003418679,0.007051548,0.003547009,0.001932253,0.0002755435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889489,"about_ca_system_score_gemma":0.001183018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008976109,"about_ca_topic_score_gemma":0.0131137,"domain_scores_codex":[0.9977314,0.001367449,0.00008248417,0.0002111369,0.0002252424,0.0003821982],"domain_scores_gemma":[0.9901509,0.004809935,0.002108359,0.0007367054,0.0009910945,0.00120292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002517766,0.0001184187,0.6786752,0.0003579692,0.0001670342,0.0006572749,0.08006603,0.005139034,0.0002416622,0.116439,0.009802591,0.1080839],"study_design_scores_gemma":[0.00002673447,0.000286007,0.5981131,0.001919845,0.0001421096,0.0009607188,0.2255625,0.01198616,0.0004473409,0.1119625,0.04847291,0.0001201993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8771775,0.009553683,0.009316388,0.03012386,0.0003103298,0.0000262785,0.0005858901,0.00002833361,0.07287768],"genre_scores_gemma":[0.996726,0.001460049,0.0004315629,0.0007487331,0.00007214603,0.000008452678,0.00008714067,0.00001420371,0.0004517247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008976109,"threshold_uncertainty_score":0.02663416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270973208648371,"score_gpt":0.2643000022012358,"score_spread":0.2415902701147521,"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."}}