{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002298124,0.0000601442,0.00006523669,0.0003369277,0.0001287633,0.0003555361,0.0002167955,0.00006206265,7.327059e-7],"category_scores_gemma":[0.0001681705,0.00005224644,0.000009757218,0.0009335842,0.0001202404,0.001115395,0.000149546,0.0001153199,0.000002425144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001639608,"about_ca_system_score_gemma":0.00002914185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001494106,"about_ca_topic_score_gemma":0.00003754461,"domain_scores_codex":[0.9994596,7.146114e-7,0.00009974615,0.0002169994,0.00008167989,0.0001413195],"domain_scores_gemma":[0.9997195,0.00003237768,0.00004085852,0.00007729657,0.0001267529,0.000003186288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007501509,0.00001245534,0.006831004,0.00004810992,6.011733e-7,1.895552e-7,0.0001237103,0.0003354159,0.00007024554,0.2733055,0.0006427763,0.7186224],"study_design_scores_gemma":[0.0001377848,0.000007398251,0.01545429,0.0001274514,0.000002936429,1.551533e-7,0.0001141704,0.8846737,0.00009047377,0.09739307,0.001924727,0.00007381133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06945284,0.00006947129,0.9255361,0.003625741,0.0003068798,0.0002306381,1.058183e-7,0.0001185666,0.0006596747],"genre_scores_gemma":[0.9699844,0.000005899238,0.02729663,0.002525889,0.0001192752,0.00003532307,0.000001334071,0.000002262191,0.0000289551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9005316,"threshold_uncertainty_score":0.3428442,"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."}}