{"id":"W4405440217","doi":"10.1109/tts.2024.3476041","title":"The Future of Work in the Age of Automation: Proceedings of a Workshop on Norbert Wiener’s 21st Century Legacy","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Technology and Society","topic":"Technology, Environment, Urban Planning","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; York University; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Federation University Australia; Yildiz Teknik Üniversitesi; Syracuse University; Technische Universität München; Purdue University; Centre National de la Recherche Scientifique; Concordia University; University of Notre Dame; University of Waterloo; University of Connecticut; York University","keywords":"Automation; Work (physics); Engineering; Mechanical 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":[0.0001993224,0.0001147829,0.000161963,0.0001561757,0.0002355551,0.00003150215,0.0002283497,0.000246731,0.00002099714],"category_scores_gemma":[0.000003137152,0.00007264004,0.0001059409,0.0003357437,0.001134448,0.0001091959,0.000003359639,0.000592115,0.000001414294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002484794,"about_ca_system_score_gemma":0.00001061523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005077437,"about_ca_topic_score_gemma":0.0000365689,"domain_scores_codex":[0.9993208,0.00001003254,0.0002419604,0.0001670645,0.000120132,0.0001399855],"domain_scores_gemma":[0.9995933,0.000135412,0.0000819238,0.0001632327,0.00001905292,0.000007047774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006528497,0.0003409907,0.0001572489,0.0002138632,0.0002558354,0.000003477832,0.05888842,0.00005414386,0.001590678,0.8478608,0.004042732,0.08652651],"study_design_scores_gemma":[0.000974401,0.0006826899,0.002352185,0.001315948,0.0002532477,0.00002370996,0.4905793,0.000348024,0.0148241,0.01164573,0.4765268,0.000473865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815564,0.003576295,0.0004478233,0.009696363,0.0005923814,0.0004398646,0.0000354656,0.0003218762,0.003333554],"genre_scores_gemma":[0.9976321,0.001680459,0.000129678,0.00007029823,0.00003506904,0.00004836131,0.00000110269,0.00001009082,0.0003927968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8362151,"threshold_uncertainty_score":0.4179921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134177468004626,"score_gpt":0.2157918236276146,"score_spread":0.2044500489475684,"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."}}