{"id":"W7163151925","doi":"10.5281/zenodo.20502945","title":"A STUDY ON EMPLOYEE RETENTION PRACTICES AND CHALLENGES IN HYDERABAD-BASED INFORMATION TECHNOLOGY COMPANIES","year":2022,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attrition; Viewpoints; Order (exchange); Employee retention; Information technology; Quarter (Canadian coin); Retention rate; Competitive advantage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001334565,0.0001716885,0.0002427808,0.001364562,0.003722524,0.002012055,0.0007973383,0.0007780563,0.002091586],"category_scores_gemma":[0.002274832,0.0002431116,0.000278645,0.001510729,0.0008979752,0.001189785,0.001332441,0.001203591,0.0004076684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950643,"about_ca_system_score_gemma":0.002284003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01317658,"about_ca_topic_score_gemma":0.01939358,"domain_scores_codex":[0.9990122,0.0002400852,0.00007969035,0.00007049603,0.0002254368,0.0003720931],"domain_scores_gemma":[0.9975037,0.0005933781,0.000650159,0.0000772698,0.0003990965,0.0007764406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001137406,0.001036408,0.7114003,0.000279754,0.00003862205,0.002235699,0.2400905,0.00008021885,0.0009796647,0.0007330929,0.003356581,0.03965537],"study_design_scores_gemma":[0.000005666646,0.000512703,0.5670769,0.0001503975,0.00002058974,0.0008122148,0.4237283,0.0000856507,0.0002487796,0.00006034716,0.007270118,0.00002826452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979072,0.0002401469,0.00002068527,0.000526079,0.000009044768,0.00001283216,0.00003226308,0.000002019695,0.00124975],"genre_scores_gemma":[0.9974121,0.0004095676,0.00004782258,0.0004907652,0.000009261199,0.00001664044,0.00003652842,0.000001932993,0.00157539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01317658,"threshold_uncertainty_score":0.02619976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143967040704808,"score_gpt":0.2639879113425275,"score_spread":0.1495912072720466,"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."}}