{"id":"W4417284345","doi":"10.1109/tts.2025.3630817","title":"Special Issue Editorial: Extraction by Design—AI, Value, and the Future of Work","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Technology and Society","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; University of Waterloo","funders":"","keywords":"Work (physics); Extraction (chemistry)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":["sts","research_integrity"],"category_scores_codex":[0.002201412,0.0002887668,0.0005242196,0.0001443603,0.003136972,0.0001647656,0.0003321101,0.002662813,0.00009853097],"category_scores_gemma":[0.00007041069,0.0002425625,0.0002948469,0.001433712,0.005962672,0.0003381951,0.000007044216,0.002391934,0.000003446464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078605,"about_ca_system_score_gemma":0.0003647268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002675161,"about_ca_topic_score_gemma":0.0001020574,"domain_scores_codex":[0.9977889,0.0004667169,0.0004546052,0.0004440923,0.0004194369,0.0004262369],"domain_scores_gemma":[0.9980295,0.00105472,0.0002185198,0.0002796903,0.0003268274,0.00009079906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006328602,0.0004717069,0.00002128009,0.00009125155,0.0007830291,7.233191e-7,0.0360622,0.00006499212,0.0003145942,0.08959947,0.7302986,0.1416592],"study_design_scores_gemma":[0.003255244,0.0003492373,0.00003527397,0.0002053877,0.0007055729,0.000001416309,0.05856322,0.000117196,0.005143553,0.1401348,0.7910392,0.0004499769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005361908,0.009986823,0.2178665,0.5548645,0.1991403,0.002654461,0.0001338781,0.0003798118,0.009611836],"genre_scores_gemma":[0.8121197,0.1153499,0.001277912,0.003850244,0.05724075,0.0001027994,0.000001742111,0.00004277909,0.01001415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8067577,"threshold_uncertainty_score":0.9999096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008488771646629851,"score_gpt":0.303551615479787,"score_spread":0.2950628438331571,"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."}}