{"id":"W4365936245","doi":"10.1177/10242589231157656","title":"Introduction to the <i>Transfer</i> special issue. Regulating AI at work: labour relations, automation, and algorithmic management","year":2023,"lang":"en","type":"article","venue":"Transfer European Review of Labour and Research","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Automation; Work (physics); Computer science; Operations research; Engineering management; Management science; Engineering; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002509847,0.001450687,0.001346552,0.004052546,0.002707507,0.006604582,0.002455135,0.00743394,0.02907448],"category_scores_gemma":[0.004687109,0.0005933176,0.001761207,0.003357528,0.004219469,0.00681424,0.003478351,0.0121203,0.01311814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003409069,"about_ca_system_score_gemma":0.003041406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005515417,"about_ca_topic_score_gemma":0.01007158,"domain_scores_codex":[0.9986015,0.0002588905,0.0001251276,0.0002679587,0.0005776059,0.0001689431],"domain_scores_gemma":[0.9951923,0.002756408,0.0002997437,0.0002655035,0.001028548,0.0004574456],"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":[0.000008098283,0.00002219106,0.00008077115,0.0001978753,0.000004823578,0.00002323876,0.00005371357,0.0000605427,0.00008344398,0.01717414,0.9622452,0.02004603],"study_design_scores_gemma":[0.000003598215,0.00001977179,0.0005646329,0.0003840546,0.000007244822,0.00007873068,0.00007388041,0.0001015569,0.00006083285,0.007990557,0.9907019,0.00001319972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004184093,0.2028449,0.005175636,0.202897,0.4887516,0.00009172537,0.0006538892,0.0001968461,0.09896998],"genre_scores_gemma":[0.005515342,0.113492,0.001885886,0.09464812,0.6442237,0.0002267728,0.0007232506,0.0002986093,0.1389863],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9972925,"threshold_uncertainty_score":0.09726387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531729523558872,"score_gpt":0.3211049593700352,"score_spread":0.2957876641344465,"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."}}