{"id":"W4393979635","doi":"10.53555/sfs.v8i3.2437","title":"Investigating Employee Retention in IT Companies: A Study in India","year":2022,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Employee retention; Business; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009897245,0.0001744952,0.0003071809,0.001192228,0.003978963,0.001965197,0.0008047927,0.0008376617,0.00145808],"category_scores_gemma":[0.001584862,0.0003432758,0.0003146959,0.00143288,0.0010337,0.0008267401,0.001210244,0.001286017,0.0003416165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560513,"about_ca_system_score_gemma":0.002501048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0264832,"about_ca_topic_score_gemma":0.05104611,"domain_scores_codex":[0.9992371,0.0001662216,0.00004046575,0.00005327474,0.0001204724,0.0003825709],"domain_scores_gemma":[0.9978691,0.0006134559,0.0005021035,0.000100741,0.000340699,0.0005738288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001175008,0.00132778,0.6296259,0.0002110261,0.00003057946,0.003615851,0.3415201,0.00007854396,0.002115005,0.0005288929,0.0009830649,0.01984575],"study_design_scores_gemma":[0.000006945853,0.0006557839,0.4105706,0.00009614065,0.00003092516,0.001168228,0.584076,0.0001272484,0.0003413407,0.0000617315,0.002839168,0.00002587904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992883,0.00004706278,0.00002042575,0.0001296157,0.000002027912,0.000010383,0.0000159231,8.316924e-7,0.0004855728],"genre_scores_gemma":[0.9987527,0.0001923566,0.00005259243,0.0003169129,0.000005291438,0.00001710745,0.00002038587,0.000001505539,0.0006411201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0264832,"threshold_uncertainty_score":0.05265814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.241223552683606,"score_gpt":0.2899697847852367,"score_spread":0.04874623210163065,"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."}}