{"id":"W3028363537","doi":"10.1093/jeea/jvaa015","title":"On the Provision of Unemployment Insurance when Workers are Ex-Ante Heterogeneous","year":2020,"lang":"en","type":"article","venue":"Journal of the European Economic Association","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Israel Science Foundation","keywords":"Economics; Unemployment; Ex-ante; Labour economics; Construct (python library); Microeconomics; General equilibrium theory; Macroeconomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002677481,0.0001142854,0.0003342621,0.00004190324,0.00007948218,0.00006169509,0.0005102778,0.00003847163,0.00005790847],"category_scores_gemma":[0.0006645487,0.00007954276,0.0002731135,0.00006928309,0.00002151942,0.0001211232,0.00009370281,0.0002425275,0.00009473501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004517151,"about_ca_system_score_gemma":0.00002497203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000162863,"about_ca_topic_score_gemma":0.000006984606,"domain_scores_codex":[0.9983491,0.0002763578,0.001006029,0.0001545862,0.00007184631,0.0001420624],"domain_scores_gemma":[0.9954421,0.0001999127,0.004019283,0.0002314043,0.00005622726,0.00005109952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001524891,0.0001041444,0.9605939,0.00002560728,0.0003811547,0.00000564623,0.001278721,0.01496719,0.00004319518,0.01345489,0.007707382,0.001285725],"study_design_scores_gemma":[0.002095593,0.0004235895,0.9106541,0.0002181421,0.00005152691,0.000006852884,0.0002556386,0.007828562,0.0003259249,0.05693738,0.02074106,0.0004616816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808056,0.000154372,0.0001707153,0.01274357,0.00069528,0.0001457803,0.0001386447,0.000005835748,0.005140226],"genre_scores_gemma":[0.9983105,0.00008896672,0.00003547325,0.001002514,0.0002552228,6.125667e-7,9.49544e-7,0.00002352544,0.0002822469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04993981,"threshold_uncertainty_score":0.324366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599532073910889,"score_gpt":0.2021137540317316,"score_spread":0.1761184332926227,"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."}}