{"id":"W1978937662","doi":"10.7202/050741ar","title":"Shop Steward Performance: A Constrained-Decision Analysis","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grievance; Affect (linguistics); Key (lock); Resolution (logic); Computer science; Operations research; Psychology; Social psychology; Political science; Artificial intelligence; Engineering; Law; Computer security; Communication","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004066166,0.0001755268,0.0002135413,0.0009210037,0.0004063927,0.000245647,0.0002118047,0.0001520797,0.00188001],"category_scores_gemma":[0.0001115354,0.0001625849,0.0001513485,0.002040876,0.00006393322,0.0007095027,0.0001228588,0.0002676462,0.001359199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005765049,"about_ca_system_score_gemma":0.00002736174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005070544,"about_ca_topic_score_gemma":0.00003653213,"domain_scores_codex":[0.9987367,0.000009201967,0.0003633494,0.0002863238,0.0003328895,0.0002715281],"domain_scores_gemma":[0.9992975,0.00009916055,0.0001437224,0.0003371822,0.0001029933,0.00001944884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002689705,0.0001465572,0.275684,0.000009371413,0.000479016,0.000005212144,0.0001952598,0.3505604,0.000008639471,0.008804271,0.04550669,0.3185737],"study_design_scores_gemma":[0.0005334798,0.000007513907,0.01436109,0.00003447131,0.0006405439,9.40399e-7,0.001036598,0.366331,0.000009986886,0.0001503728,0.6166068,0.0002871712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7806404,0.000132487,0.03251689,0.008574876,0.0002707876,0.0003715624,0.000006547983,0.0003990044,0.1770874],"genre_scores_gemma":[0.990871,0.0000180025,0.001520177,0.0004951534,0.0008939632,0.00001499407,0.00007258641,0.00001749029,0.006096658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5711001,"threshold_uncertainty_score":0.9994184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545089677623545,"score_gpt":0.2198829046627308,"score_spread":0.2044320078864954,"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."}}