{"id":"W1558603777","doi":"10.2139/ssrn.1424388","title":"Measuring Unemployment Insurance Generosity","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Generosity; Unemployment; Labour economics; Business; Actuarial science; Economics; Demographic economics; Political science; Economic growth; Law","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":[0.001256675,0.0002054491,0.0002805438,0.003122176,0.0006109789,0.000905875,0.0003571555,0.0005740224,0.005616365],"category_scores_gemma":[0.007730387,0.0001590018,0.0002399665,0.001693522,0.0002322194,0.0005756006,0.0009413864,0.0003779712,0.0009413626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003942645,"about_ca_system_score_gemma":0.0002203907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002334938,"about_ca_topic_score_gemma":0.003554169,"domain_scores_codex":[0.999163,0.0002871534,0.00006852746,0.0001205975,0.0002131053,0.0001477073],"domain_scores_gemma":[0.9962822,0.00149898,0.001124379,0.0002612611,0.0004220119,0.0004113355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002919114,0.0001964471,0.9683473,0.0000308219,0.0000875205,0.00004874084,0.0006148022,0.001026818,0.00155489,0.001705165,0.0007642856,0.0253312],"study_design_scores_gemma":[0.00001262822,0.0002167398,0.9880703,0.0000288763,0.00004344667,0.0001549039,0.0009778555,0.00655664,0.001326065,0.001208534,0.00138651,0.00001751144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956792,0.00007624604,0.0006585846,0.00004674845,0.000005848604,0.00002237885,0.000781454,0.00001325936,0.002716412],"genre_scores_gemma":[0.9986099,0.00002238576,0.0004681251,0.00001047582,0.000006522175,0.00001829294,0.0003589924,0.00000184522,0.0005034924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005616365,"threshold_uncertainty_score":0.01878864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751621509015786,"score_gpt":0.215888903745377,"score_spread":0.1883726886552191,"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."}}