{"id":"W2764065180","doi":"10.7202/1022464ar","title":"Collective Bargaining by Civil Servants","year":2014,"lang":"en","type":"article","venue":"Relations industrielles","topic":"European and International Law Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conciliation; Arbitration; Civil servants; Collective bargaining; Scope (computer science); Government (linguistics); Political science; Representation (politics); Settlement (finance); Law; Law and economics; Sociology; Business; Politics; Computer science; Payment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01206606,0.0008984648,0.0007619213,0.001300056,0.006409415,0.006935833,0.001516663,0.005441876,0.01646253],"category_scores_gemma":[0.01529618,0.0003923115,0.0008694735,0.001408105,0.01093044,0.004227356,0.006084973,0.003577038,0.0022798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003490649,"about_ca_system_score_gemma":0.003206538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002360384,"about_ca_topic_score_gemma":0.00219208,"domain_scores_codex":[0.9899985,0.005250992,0.0003098834,0.0009007957,0.002330056,0.001209716],"domain_scores_gemma":[0.9936873,0.004085284,0.0005253397,0.0007002629,0.0005207268,0.0004810423],"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":[0.00001433497,0.000009425738,0.00007425748,0.0000201651,0.000007159571,0.0000557768,0.001329402,0.0005699636,0.0001058604,0.990944,0.00180427,0.005065314],"study_design_scores_gemma":[0.00005656746,0.0000557005,0.0001682648,0.0001630096,0.00001412384,0.00009260474,0.001803493,0.00352351,0.0003019751,0.8147455,0.1790556,0.00001971545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02590747,0.003936824,0.122806,0.02432842,0.001587137,0.0003399751,0.00003265358,0.00007708345,0.8209845],"genre_scores_gemma":[0.7499292,0.00269477,0.02485,0.005176564,0.001049546,0.0004988314,0.00005507048,0.00006043166,0.2156855],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01646253,"threshold_uncertainty_score":0.0638122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03527163489492124,"score_gpt":0.2836468895367074,"score_spread":0.2483752546417862,"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."}}