{"id":"W1977337374","doi":"10.1016/j.im.2006.10.006","title":"The use and impact of human resource information systems on human resource management professionals","year":2006,"lang":"en","type":"article","venue":"Information & Management","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":230,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Royal Society","keywords":"Human resource management system; Human resource management; Business; Knowledge management; Human resources; Resource (disambiguation); Information system; Strategic human resource planning; Management; Engineering; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009078819,0.0002589471,0.0002111571,0.0006943828,0.0009789753,0.001462149,0.0003234952,0.00006832619,0.00001855119],"category_scores_gemma":[0.00001585519,0.0001835623,0.0001072194,0.0004301041,0.00007270357,0.004357871,0.0003193341,0.0001355394,0.0001798185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001102795,"about_ca_system_score_gemma":0.00000406377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007870616,"about_ca_topic_score_gemma":0.00001484105,"domain_scores_codex":[0.9978549,0.00002975566,0.000932776,0.0001415259,0.0006892462,0.0003518276],"domain_scores_gemma":[0.9985367,0.0000552436,0.0007818485,0.0004657062,0.0001405272,0.00001995537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001445935,0.0001143389,0.003412913,0.001387212,0.000208376,0.000002816871,0.0003312167,0.01140381,0.000006492904,0.605,0.3624669,0.01552132],"study_design_scores_gemma":[0.001631338,0.00005353918,0.1525371,0.000490616,0.0001021839,0.000001328243,0.003091546,0.001561188,0.000006256709,0.001264797,0.8389101,0.0003499579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5098374,0.00004004861,0.0004362728,0.000544062,0.0002514657,0.002162265,0.00001622479,0.0003270166,0.4863853],"genre_scores_gemma":[0.9963428,0.000007954586,0.00004373505,0.0006757143,0.0001828195,0.0001159251,0.0004384939,0.00001637974,0.002176127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6037353,"threshold_uncertainty_score":0.9995744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970708097273036,"score_gpt":0.2699207004107089,"score_spread":0.2402136194379785,"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."}}