{"id":"W4410253109","doi":"10.1016/j.procs.2025.04.330","title":"Frameworks for AI Integration in HR and Workforce Adaptation","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"University Canada West","keywords":"Computer science; Adaptation (eye); Workforce; Engineering management; Data science; Software engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01508147,0.0008049119,0.0004191584,0.00345021,0.003073369,0.01050369,0.003819979,0.004987814,0.007908949],"category_scores_gemma":[0.01472397,0.0005763829,0.001312878,0.002334247,0.01849246,0.009217971,0.009296353,0.003940517,0.001108887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006354589,"about_ca_system_score_gemma":0.009019286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006440988,"about_ca_topic_score_gemma":0.005747845,"domain_scores_codex":[0.9899463,0.006311367,0.0005802017,0.001024708,0.001402883,0.0007344545],"domain_scores_gemma":[0.990634,0.005400911,0.0008418171,0.001371768,0.001101248,0.0006504133],"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":[0.000003538627,0.00002152053,0.0002452709,0.00006058769,0.000007533327,0.00005712847,0.001436405,0.002672792,0.0001056051,0.983053,0.0006455572,0.01169123],"study_design_scores_gemma":[0.00001077317,0.00002508797,0.0004819417,0.0004464448,0.0000169538,0.0001333009,0.002474595,0.01215518,0.0002836025,0.9066826,0.07726466,0.0000249924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009859333,0.004657237,0.7077776,0.03080321,0.0004922085,0.0004323382,0.00007655402,0.0003865718,0.245515],"genre_scores_gemma":[0.5999189,0.004005056,0.3690486,0.003109269,0.0004656859,0.0009830404,0.000140458,0.0001573414,0.02217166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01508147,"threshold_uncertainty_score":0.07975936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741227106797646,"score_gpt":0.2607380875517241,"score_spread":0.2433258164837477,"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."}}