{"id":"W2532697243","doi":"10.1111/sjoe.12367","title":"Understanding the Determination of Severance Pay: Mandates, Bargaining, and Unions*","year":2019,"lang":"en","type":"article","venue":"Scandinavian Journal of Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche","keywords":"Severance; Payment; Economics; Unemployment; Labour economics; Wage; Collective bargaining; Wage bargaining; Matching (statistics); Bargaining power; Job creation; Microeconomics; Finance; Macroeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004540104,0.0003234855,0.001006722,0.0009378966,0.001693598,0.003835186,0.001173589,0.003251184,0.0112084],"category_scores_gemma":[0.009908798,0.0005725452,0.0007530686,0.0009862239,0.003380977,0.003781475,0.001913592,0.002275873,0.0005988522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003114477,"about_ca_system_score_gemma":0.002062679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01075231,"about_ca_topic_score_gemma":0.00690205,"domain_scores_codex":[0.9985288,0.0006626704,0.00005231818,0.0001768074,0.0001440923,0.0004351842],"domain_scores_gemma":[0.9929345,0.00421853,0.001646951,0.0002861835,0.0002918118,0.0006220689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001777655,0.0002075123,0.01766849,0.00006472804,0.00004506734,0.0001961568,0.0007094623,0.1840267,0.0005925872,0.7845057,0.001994225,0.009811666],"study_design_scores_gemma":[0.00006719782,0.00008937602,0.01250517,0.00008402572,0.00003837293,0.00007013585,0.00125601,0.2712992,0.0002910199,0.7106162,0.003636718,0.00004660307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8497187,0.001715724,0.08093268,0.008304166,0.0001001167,0.00005535524,0.0001802878,0.00005000256,0.05894286],"genre_scores_gemma":[0.9954601,0.0002278437,0.00146295,0.00008192546,0.00004869079,0.00001448675,0.00002494831,0.00000775428,0.002671373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0112084,"threshold_uncertainty_score":0.03749591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04935220596286768,"score_gpt":0.2252279327553476,"score_spread":0.1758757267924799,"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."}}