{"id":"W2483187611","doi":"10.3968/8531","title":"Research on the Relationship Between IT Employee’s Work Pressure, Control Points and Turnover Intention","year":2016,"lang":"en","type":"article","venue":"Canadian social science","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turnover; Work (physics); Scope (computer science); Business; Control (management); Competition (biology); Turnover intention; Marketing; The Internet; Public relations; Management; Economics; Computer science; Organizational commitment; Political science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001448847,0.00005780658,0.00006206291,0.0002963832,0.00133453,0.0003111099,0.0004062753,0.00006745624,0.00006326455],"category_scores_gemma":[0.001763616,0.00003424567,0.00001793393,0.001027291,0.001041879,0.0005448388,0.00007737287,0.0001608627,0.0001796453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008254,"about_ca_system_score_gemma":0.0000782406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004651871,"about_ca_topic_score_gemma":0.008553615,"domain_scores_codex":[0.9990538,0.00001773935,0.00008187725,0.0001958159,0.000276527,0.0003742157],"domain_scores_gemma":[0.9993163,0.0003237438,0.00004075444,0.0001268607,0.0001642986,0.00002799765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002330609,0.000001013151,0.7036302,0.000002252202,0.00000195326,4.333647e-7,0.00002471609,1.113753e-8,0.000008186453,0.2745914,0.01860912,0.003128403],"study_design_scores_gemma":[0.0001045798,0.000003909004,0.900391,0.0000407163,0.000006381974,4.444713e-8,0.0004391065,0.000001343492,0.000003667598,0.03202634,0.06692161,0.00006132107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8341571,0.00004382706,0.00007649246,0.07988372,0.0001578566,0.0003205943,0.00001060213,0.00007283188,0.08527698],"genre_scores_gemma":[0.9977438,8.035173e-7,0.000002697596,0.001294161,0.0003222512,0.0000118463,4.730857e-7,0.000005036153,0.0006189412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.242565,"threshold_uncertainty_score":0.9999656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120293337063545,"score_gpt":0.3171483108481146,"score_spread":0.2051189771417601,"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."}}