{"id":"W4385078478","doi":"10.18280/isi.280307","title":"Modelling Information Systems for Personnel Management: Navigating Economic Security in the Transition to Industry 5.0","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transition (genetics); Business; Information systems security; Information security; Knowledge management; Information system; Industry 4.0; Information security management; Management information systems; Computer security; Engineering management; Process management; Computer science; Security information and event management; Cloud computing security; Engineering; Cloud computing; Chemistry","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":[0.002433342,0.0003851718,0.0002341171,0.001949042,0.00117318,0.006310497,0.001085095,0.001718785,0.003134953],"category_scores_gemma":[0.006336303,0.0003480925,0.0006987026,0.002170208,0.002744159,0.00528309,0.002533782,0.001328358,0.0005109349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003767044,"about_ca_system_score_gemma":0.004176737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01461123,"about_ca_topic_score_gemma":0.0114468,"domain_scores_codex":[0.9981307,0.001225967,0.00008934973,0.0001477615,0.000257606,0.0001485359],"domain_scores_gemma":[0.9968836,0.002232447,0.0002962842,0.0002162106,0.0002216408,0.0001497938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003985719,0.00006106021,0.004757014,0.0001636607,0.00002071467,0.0002557219,0.005979457,0.05740218,0.0006869576,0.908139,0.001542596,0.02095183],"study_design_scores_gemma":[0.00003845362,0.00009966133,0.005951973,0.0004929462,0.0000528116,0.0002154673,0.008000785,0.3595797,0.0009985585,0.5298404,0.09465931,0.00006991351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1585254,0.002564008,0.7206812,0.01402057,0.0001800865,0.0003989124,0.0007266573,0.0004727561,0.1024304],"genre_scores_gemma":[0.8143747,0.00240745,0.1749713,0.0002804863,0.00005555936,0.0003499291,0.0006127915,0.0000742466,0.006873535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01461123,"threshold_uncertainty_score":0.02905238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04248858838480675,"score_gpt":0.2622659023130061,"score_spread":0.2197773139281993,"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."}}