{"id":"W3028461758","doi":"10.1080/13678868.2020.1767453","title":"The evolution of the workforce during the fourth industrial revolution","year":2020,"lang":"en","type":"article","venue":"Human Resource Development International","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Industrial Revolution; Government (linguistics); Private sector; Digital transformation; Quarter (Canadian coin); Emerging technologies; Work (physics); Public relations; Business; Political science; Economic growth; Engineering; Economics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007777662,0.00006864081,0.0000575304,0.00001979851,0.001785991,0.00007820534,0.0007657835,0.00005399997,0.0001912615],"category_scores_gemma":[0.0004706501,0.00003920922,0.00006141894,0.000243751,0.0003107136,0.00005920123,0.0001231974,0.0001986559,0.00002254085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005721028,"about_ca_system_score_gemma":0.0003513155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002618556,"about_ca_topic_score_gemma":0.000706748,"domain_scores_codex":[0.9984778,0.0002586987,0.0002906616,0.0001431334,0.0006658848,0.0001637816],"domain_scores_gemma":[0.9993693,0.0001264902,0.0001781943,0.0001470536,0.0001248255,0.00005419098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001048823,0.00009122476,0.7076844,0.000007686715,0.00009713118,3.120276e-7,0.08880263,0.0002855544,0.0002985854,0.1687001,0.02899444,0.004933074],"study_design_scores_gemma":[0.0001478113,0.000003389596,0.3066166,0.00001438094,0.000003161577,2.261009e-7,0.00394281,0.00001408484,0.00007443294,0.0003682746,0.6887634,0.00005143356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482515,0.00004647117,0.00009608173,0.03192573,0.0005608628,0.0002728874,0.00000215123,0.00003482182,0.01880954],"genre_scores_gemma":[0.9907969,0.00000458065,0.000056633,0.0001967596,0.0006706758,0.00002365694,0.000004020064,0.000005180048,0.008241653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.659769,"threshold_uncertainty_score":0.9995136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06685426157683987,"score_gpt":0.3124559029065573,"score_spread":0.2456016413297175,"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."}}