{"id":"W3121210532","doi":"10.1162/rest_a_00674","title":"The Impact of Unemployment Insurance on Job Search: Evidence from Google Search Data","year":2017,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Unemployment; Index (typography); Search theory; Economics; Search engine; Computer science; Information retrieval; World Wide Web; Microeconomics","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":[0.003523234,0.0002975517,0.0007111392,0.00404357,0.0004489419,0.001621772,0.0006150845,0.0007549655,0.002562048],"category_scores_gemma":[0.0271191,0.0002581395,0.0008976071,0.009945452,0.0007694048,0.001398098,0.001221131,0.0008985141,0.0008079711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005836503,"about_ca_system_score_gemma":0.0007211194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03625395,"about_ca_topic_score_gemma":0.03599368,"domain_scores_codex":[0.99668,0.00139301,0.0003412185,0.0003537743,0.0009842525,0.0002476829],"domain_scores_gemma":[0.9528615,0.02736933,0.01497061,0.001630454,0.002079904,0.00108813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005347388,0.0001137941,0.9661429,0.001264011,0.0008369238,0.000154977,0.0005794019,0.000816753,0.00008451248,0.001427278,0.005662178,0.02238255],"study_design_scores_gemma":[0.00003917076,0.00009439995,0.9903576,0.0004818602,0.0004382539,0.0001256357,0.0007154591,0.001302037,0.0001190233,0.0004958781,0.005810731,0.00001992468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435948,0.03104919,0.0004731026,0.002489944,0.00007727836,0.00003760641,0.01355495,0.00003075062,0.008692367],"genre_scores_gemma":[0.9836305,0.009395315,0.00018596,0.0003070548,0.0001701447,0.00002621667,0.005754313,0.00001153011,0.0005189244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03625395,"threshold_uncertainty_score":0.07208586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2108298798935197,"score_gpt":0.3732511557828754,"score_spread":0.1624212758893557,"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."}}