{"id":"W2587511312","doi":"10.1111/jpet.12287","title":"Optimal unemployment insurance and redistribution","year":2018,"lang":"en","type":"article","venue":"Journal of Public Economic Theory","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Queen's University","funders":"","keywords":"Economics; Unemployment; Redistribution (election); Labour economics; Incentive; Involuntary unemployment; Wage; Matching (statistics); Margin (machine learning); Lump sum; Welfare; Income tax; Microeconomics; Public economics; Macroeconomics; Payment","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002716024,0.0001411632,0.00042255,0.0002637023,0.0001126922,0.0001114316,0.0002769355,0.0001022896,0.0003493848],"category_scores_gemma":[0.0002051464,0.0001515523,0.0001273362,0.00005803677,0.0002956016,0.000746239,0.0000744475,0.0001810933,0.0002817597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002734769,"about_ca_system_score_gemma":0.00005606334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000114125,"about_ca_topic_score_gemma":0.000004852101,"domain_scores_codex":[0.9984174,0.00004331319,0.0009911883,0.0002240447,0.00001818334,0.0003058891],"domain_scores_gemma":[0.9985415,0.00009526774,0.0009267048,0.0002015748,0.00004091323,0.0001940647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005616205,0.00003775331,0.03103628,0.000007785012,0.00009590212,0.000001753903,0.0002393909,0.000009042627,0.00001224134,0.963147,0.003115811,0.002240822],"study_design_scores_gemma":[0.001421311,0.0004554478,0.05876165,0.00001866866,0.000009017801,0.0001703519,0.0002054034,0.0008744306,0.0002740186,0.8585955,0.07889839,0.0003158141],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495409,0.001040352,0.003600986,0.001845552,0.001133225,0.00006587194,0.0001450996,0.00001386168,0.04261421],"genre_scores_gemma":[0.9977146,0.00007058674,0.0003864276,0.0003041555,0.00128995,0.000002304751,0.000003166646,0.00001754607,0.0002112199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1045516,"threshold_uncertainty_score":0.6180122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03143111264404928,"score_gpt":0.2319130840546761,"score_spread":0.2004819714106268,"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."}}