{"id":"W7024152865","doi":"","title":"Regulating AI at work: labour relations, automation, and algorithmic management","year":2023,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); European union; Harm; Collective bargaining; Core (optical fiber); Labour law; Intersection (aeronautics); German; Risk management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00898635,0.0004079766,0.0003993564,0.001827086,0.006435943,0.01643244,0.002234638,0.006544332,0.006868447],"category_scores_gemma":[0.01312009,0.0003355822,0.0006309863,0.002203793,0.04206419,0.01096411,0.005986317,0.005108303,0.001104359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01228088,"about_ca_system_score_gemma":0.008439053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009921128,"about_ca_topic_score_gemma":0.00723239,"domain_scores_codex":[0.9880819,0.00550166,0.0003908382,0.001180773,0.002840391,0.002004508],"domain_scores_gemma":[0.9881284,0.00797444,0.001522636,0.001093324,0.0007424331,0.0005388607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006420426,0.00003739391,0.00281004,0.0001494453,0.0000159875,0.00009498589,0.01760445,0.001046378,0.0002313659,0.9268368,0.007959851,0.0431491],"study_design_scores_gemma":[0.00002553459,0.00008129034,0.01315846,0.001183508,0.00002510352,0.0001390825,0.02753801,0.002001417,0.0008207255,0.6477115,0.307245,0.00007036931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1108354,0.04401593,0.03304023,0.2699848,0.001395831,0.00009003986,0.00008384877,0.0001417541,0.5404121],"genre_scores_gemma":[0.9483617,0.008622636,0.00259257,0.01327964,0.0009192282,0.0001279599,0.00004536224,0.0000787275,0.02597221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01643244,"threshold_uncertainty_score":0.08910447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116015341053002,"score_gpt":0.2537376768173093,"score_spread":0.2421361427120091,"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."}}