{"id":"W7095286465","doi":"","title":"Unemployment Insurance, Productivity, and Wage Dispersion Alok Kumar ∗","year":2003,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Wage dispersion; Earnings; Monopsony; Wage; Dispersion (optics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001735233,0.000482821,0.0009318654,0.002726604,0.003286215,0.002746853,0.0009354562,0.002387937,0.04870197],"category_scores_gemma":[0.01196842,0.0002660298,0.000346356,0.004881714,0.0005152883,0.001681443,0.000594657,0.001893381,0.003843736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009072871,"about_ca_system_score_gemma":0.004703075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4362048,"about_ca_topic_score_gemma":0.517715,"domain_scores_codex":[0.9991658,0.0001801957,0.00004677675,0.00006859192,0.0003659347,0.0001727808],"domain_scores_gemma":[0.9916934,0.003994838,0.0004057378,0.0001119448,0.003411327,0.0003826719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008010785,0.00003548773,0.003755939,0.0001553777,0.00001523834,0.0002513798,0.0004212381,0.0003119796,0.00007416952,0.02345718,0.9542467,0.01719517],"study_design_scores_gemma":[0.00006123723,0.0000375021,0.06401426,0.0008743686,0.00006148605,0.0002151849,0.002517991,0.002696921,0.0002645733,0.02263535,0.9064565,0.0001646198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02296185,0.111389,0.001086283,0.6309652,0.01896173,0.0001740797,0.01141315,0.0001179228,0.2029307],"genre_scores_gemma":[0.4558434,0.1888505,0.002207737,0.05098695,0.01977006,0.0002990033,0.005916705,0.0002217955,0.2759039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4362048,"threshold_uncertainty_score":0.8673316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084005225026968,"score_gpt":0.2148776044718562,"score_spread":0.1940375522215865,"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."}}