{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001606118,0.0001756327,0.0001811598,0.001111226,0.0006813555,0.001153327,0.0003118163,0.0003694445,0.00361381],"category_scores_gemma":[0.00743709,0.0001281108,0.0003594158,0.0009694116,0.0003474891,0.000453533,0.000440228,0.0007892787,0.0002539926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000634888,"about_ca_system_score_gemma":0.001281364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01270009,"about_ca_topic_score_gemma":0.01738251,"domain_scores_codex":[0.998604,0.000427234,0.0001127863,0.0001055568,0.0005275998,0.0002228925],"domain_scores_gemma":[0.9903659,0.004784456,0.002052909,0.0002962113,0.001264911,0.001235567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000506601,0.0003612356,0.9835463,0.00004909794,0.00008251856,0.00004776076,0.001443166,0.00008182215,0.0001774343,0.0005530576,0.000285678,0.01332124],"study_design_scores_gemma":[0.000002367185,0.00006706933,0.9976458,0.00003268065,0.00003238498,0.00002403136,0.001324464,0.0002572794,0.00008462556,0.0001089407,0.0004159149,0.000004411093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951844,0.0004092983,0.0002849846,0.000267487,0.00001681312,0.00001202378,0.00007055903,0.000003771273,0.003750668],"genre_scores_gemma":[0.9989719,0.0001984063,0.00008825619,0.00003229199,0.00001142394,0.00001147725,0.00006146263,0.000001006664,0.0006238116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01270009,"threshold_uncertainty_score":0.02525234,"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."}}