{"id":"W4387533621","doi":"10.1177/0067205x231205051","title":"Collective Bargaining in Fissured Work Contexts: An Analysis of Core Challenges and Novel Experiments","year":2023,"lang":"en","type":"article","venue":"Federal Law Review","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workplace Health, Safety and Compensation Commission","funders":"","keywords":"Collective bargaining; Legislation; Shadow (psychology); Statutory law; Competition (biology); Labour law; Economics; Labour economics; Bargaining power; Industrial relations; Business; Market economy; Law and economics; Law; Political science; Management; Microeconomics","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":[0.000592377,0.00006715656,0.0003374846,0.0000719472,0.0001465279,0.00003751164,0.00007356989,0.00003961713,0.00004365036],"category_scores_gemma":[0.00004507515,0.00006445244,0.00006011809,0.0007337345,0.00008007148,0.0003839027,0.00001159697,0.00003886188,0.000004808852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005023942,"about_ca_system_score_gemma":0.00004784053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003412978,"about_ca_topic_score_gemma":0.004279698,"domain_scores_codex":[0.999297,0.00007151667,0.0002458846,0.0001357367,0.0001086527,0.0001412417],"domain_scores_gemma":[0.9996856,0.00008382886,0.00007380946,0.00006768057,0.00003516045,0.00005390897],"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":[0.00004164686,0.0001533421,0.005290461,0.0004395542,0.0003851707,0.000003141973,0.05379342,0.00004405854,0.000004406795,0.8406585,0.0001317056,0.09905454],"study_design_scores_gemma":[0.004989861,0.0008558437,0.3533335,0.02505691,0.001572029,0.000001654473,0.04865431,0.001510144,0.0001229784,0.02643161,0.5349839,0.002487238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1580642,0.181681,0.00007021757,0.00291209,0.0001632981,0.001878403,0.00005890496,0.0001679048,0.655004],"genre_scores_gemma":[0.9758661,0.02357119,0.00003153341,0.000273823,0.0000104819,0.00005428163,0.00002511171,0.000003594964,0.0001638511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8178019,"threshold_uncertainty_score":0.2628294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105711063265105,"score_gpt":0.3567071814664445,"score_spread":0.2509961182013395,"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."}}