{"id":"W4283158914","doi":"10.4018/978-1-7998-9715-6.ch014","title":"Impact of Industry 4.0 on Human Resources Systems","year":2022,"lang":"en","type":"book-chapter","venue":"Advances in logistics, operations, and management science book series","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Human resources; Control reconfiguration; Human resource management; Knowledge management; Work (physics); Business; Industry 4.0; Process management; Management science; Engineering; Computer science; Management; Economics; Data mining; Mechanical engineering","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":[0.0007916213,0.0002763702,0.0001283491,0.001390584,0.0006884322,0.00457602,0.0003857423,0.0007687854,0.0169093],"category_scores_gemma":[0.001164592,0.0001051223,0.0003107725,0.002410184,0.001383015,0.002262369,0.00197119,0.000919849,0.00196364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00321674,"about_ca_system_score_gemma":0.003133991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007953887,"about_ca_topic_score_gemma":0.01011007,"domain_scores_codex":[0.9991335,0.0002794946,0.00002599073,0.0000665631,0.0003571405,0.0001372448],"domain_scores_gemma":[0.9986205,0.0008342564,0.0001337896,0.00006388196,0.0002181799,0.0001293327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008718552,0.0001182536,0.01194336,0.001137736,0.00004089835,0.0008100265,0.004132619,0.002541205,0.002424494,0.3657615,0.06314044,0.5478623],"study_design_scores_gemma":[0.00001027105,0.0002418186,0.06411337,0.001776162,0.00004582366,0.000819918,0.008356925,0.001627612,0.002030813,0.09562469,0.8252919,0.00006072548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07435413,0.04352166,0.001673472,0.01319372,0.0006146575,0.00003127916,0.0003068899,0.0001015614,0.8662026],"genre_scores_gemma":[0.7851185,0.08230713,0.003714633,0.00578979,0.0007760088,0.00005878806,0.0005583852,0.00007375005,0.121603],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0169093,"threshold_uncertainty_score":0.05656725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03132050239922014,"score_gpt":0.2971590177675932,"score_spread":0.2658385153683731,"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."}}