{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009056107,0.0001839266,0.000186609,0.002743304,0.00187796,0.003904267,0.0008670337,0.001463186,0.009632974],"category_scores_gemma":[0.06471474,0.0003160254,0.0005850209,0.001968273,0.001363596,0.003015753,0.001968627,0.001200788,0.00091004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00378471,"about_ca_system_score_gemma":0.003192859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02475365,"about_ca_topic_score_gemma":0.03636568,"domain_scores_codex":[0.9921656,0.004598061,0.000376821,0.0003543286,0.001603577,0.0009016159],"domain_scores_gemma":[0.8950737,0.08153457,0.008198614,0.00168649,0.007748558,0.005758124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001983527,0.003946584,0.8231291,0.0002580414,0.0002167802,0.0004462597,0.02091274,0.0009536927,0.0007989768,0.003304742,0.004223291,0.1398263],"study_design_scores_gemma":[0.0001126433,0.001438591,0.945246,0.0003474532,0.0002453648,0.0003015607,0.0386323,0.002158868,0.000949059,0.001624463,0.008890898,0.00005287039],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799563,0.0007396695,0.00006507899,0.002302979,0.00002818035,0.0000197467,0.000135618,0.000006919748,0.01674549],"genre_scores_gemma":[0.9978657,0.0004687965,0.00009093314,0.000249801,0.00002173414,0.000009818045,0.00004874882,0.000005431117,0.001239091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02475365,"threshold_uncertainty_score":0.04921913,"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."}}