{"id":"W4393285506","doi":"10.1007/978-3-031-54671-6_30","title":"The Impact of Artificial Intelligence on Human Resource Management: Opportunities and Challenges","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Becton Dickinson (Canada); University Canada West","funders":"","keywords":"Business; Knowledge management; Environmental resource management; Computer science; Economics","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":[0.004864201,0.0007369228,0.0009484744,0.001590415,0.001319697,0.01101118,0.001489301,0.003026643,0.01070131],"category_scores_gemma":[0.004281787,0.0004679764,0.0004219052,0.002856402,0.00910916,0.01145814,0.002329414,0.004176291,0.001497355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003046187,"about_ca_system_score_gemma":0.00338974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00432757,"about_ca_topic_score_gemma":0.005829948,"domain_scores_codex":[0.998467,0.0007293624,0.00003817066,0.0001092119,0.0005040442,0.0001520315],"domain_scores_gemma":[0.989455,0.00929756,0.0001968166,0.0002305783,0.0004689089,0.0003510727],"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":[0.00003341322,0.0001006479,0.0004063578,0.000669389,0.00003561197,0.00009158467,0.0004373577,0.003059421,0.0003052246,0.7780479,0.05049056,0.1663226],"study_design_scores_gemma":[0.00001062585,0.00003364206,0.0006801761,0.0008436592,0.000009996043,0.00006150392,0.001192778,0.003871533,0.0002055289,0.7681345,0.2249269,0.00002925014],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.007304202,0.4717763,0.01680996,0.1931433,0.004038643,0.00003886781,0.0001652579,0.0001161859,0.3066073],"genre_scores_gemma":[0.2904835,0.5835524,0.02912409,0.026086,0.01312963,0.0001792517,0.0002533866,0.0001590766,0.05703281],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01101118,"threshold_uncertainty_score":0.03579938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042336267628032,"score_gpt":0.2762905781163228,"score_spread":0.1720569513535197,"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."}}