{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01083125,0.004706969,0.00567764,0.006102644,0.005271163,0.0159051,0.005502506,0.02733394,0.02597984],"category_scores_gemma":[0.04777093,0.002101151,0.003731568,0.003274688,0.006135847,0.006423517,0.002785452,0.02639386,0.01233444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00463043,"about_ca_system_score_gemma":0.004590487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002471689,"about_ca_topic_score_gemma":0.006243087,"domain_scores_codex":[0.9885622,0.00209478,0.001556387,0.001670088,0.005352979,0.0007635006],"domain_scores_gemma":[0.9389104,0.03427469,0.003512338,0.001915143,0.01670768,0.004679696],"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":[0.00004331856,0.00002125481,0.0000295867,0.000250589,0.00002584728,0.00006483441,0.00001425859,0.00002832255,0.00004448552,0.0006368994,0.9955961,0.003244481],"study_design_scores_gemma":[0.0001459873,0.00006062894,0.0004764401,0.001276211,0.0001151919,0.0003791803,0.0001036893,0.0003834815,0.0001987508,0.004007065,0.9928048,0.00004858695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002465915,0.003061685,0.0001209456,0.02422291,0.9716826,0.00001228469,0.00004390539,0.00002877604,0.0008022916],"genre_scores_gemma":[0.000333546,0.002321084,0.00008343046,0.01122243,0.9827409,0.00001963645,0.00002196261,0.00002742905,0.003229568],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02733394,"threshold_uncertainty_score":0.08691126,"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."}}