{"id":"W4312181728","doi":"10.1177/10242589221141055","title":"Algorithmic management and collective bargaining","year":2022,"lang":"en","type":"article","venue":"Transfer European Review of Labour and Research","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Collective bargaining; Legislature; Work (physics); Freedom of association; Trade union; Law and economics; Political science; Collective intelligence; Economics; Public relations; Knowledge management; Computer science; Law; Human rights; International trade; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004713233,0.00005059402,0.0001266258,0.0000977922,0.0007600577,0.00004392239,0.000140809,0.00000734459,0.0003070423],"category_scores_gemma":[0.00001544527,0.00004703183,0.00002917742,0.0004618488,0.000221631,0.0001374415,0.00005490821,0.0001788864,0.00000708495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003417324,"about_ca_system_score_gemma":0.00005274947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003654299,"about_ca_topic_score_gemma":0.000006043691,"domain_scores_codex":[0.9980944,0.00104015,0.0001809952,0.0001388426,0.0003484787,0.0001971507],"domain_scores_gemma":[0.9997076,0.00007762512,0.000009866632,0.00006594961,0.00006525674,0.00007374842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000373607,0.00009042968,0.0002640872,0.004338484,0.0000674421,0.00003128601,0.0245195,0.000002066848,0.000008315993,0.3981928,0.001194393,0.5712538],"study_design_scores_gemma":[0.0005617685,0.0002259905,0.005874291,0.001255478,0.00001986449,0.000005040834,0.01011509,0.000007365855,0.00001680064,0.003144736,0.9786242,0.0001494354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03291195,0.03900903,0.0001845935,0.001466411,0.00003485956,0.0008620395,0.00003539076,0.0000200217,0.9254757],"genre_scores_gemma":[0.8354458,0.1579313,0.00007710402,0.0002543336,0.00002448036,0.00002970233,0.000004361749,0.000008643048,0.006224272],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9774297,"threshold_uncertainty_score":0.5845826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04871216927511155,"score_gpt":0.3436352378585761,"score_spread":0.2949230685834646,"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."}}