{"id":"W4395117817","doi":"10.9734/acri/2024/v24i5690","title":"Dynamics of the Digital Workforce: Assessing the Interplay and Impact of AI, Automation, and Employment Policies","year":2024,"lang":"en","type":"article","venue":"Archives of Current Research International","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Workforce; Automation; Dynamics (music); Business; Labour economics; Economics; Computer science; Engineering; Sociology; Economic growth; 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":[0.003356638,0.0001376796,0.0001963659,0.001652116,0.001116867,0.002313927,0.000459827,0.0005637691,0.002808158],"category_scores_gemma":[0.008395668,0.0001975849,0.0002044685,0.001394783,0.001208748,0.002802187,0.00250643,0.0006387423,0.0002841043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001987216,"about_ca_system_score_gemma":0.002434068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006601754,"about_ca_topic_score_gemma":0.01116563,"domain_scores_codex":[0.9986531,0.0005854957,0.00008649662,0.0001295272,0.0002549887,0.0002903826],"domain_scores_gemma":[0.9936892,0.003254381,0.0015856,0.0001480097,0.0005244357,0.0007984908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000754252,0.0002816092,0.9449044,0.00008481261,0.00001958612,0.0001149128,0.02248904,0.0005796031,0.0003964633,0.002937583,0.0003202765,0.02779627],"study_design_scores_gemma":[0.00001023556,0.0002853558,0.8771329,0.0001268713,0.00001216973,0.00009412729,0.1136118,0.002718904,0.000225408,0.001616282,0.004146887,0.00001901649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959162,0.0001274564,0.0002603644,0.0005386259,0.000004098283,0.00002290342,0.00005701181,0.000001565031,0.003071708],"genre_scores_gemma":[0.9991603,0.0001347838,0.0002108326,0.00007546244,0.000004040513,0.00002681321,0.00003514226,8.194002e-7,0.0003518575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006601754,"threshold_uncertainty_score":0.01775181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03997646747934117,"score_gpt":0.4479715010920439,"score_spread":0.4079950336127027,"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."}}