{"id":"W4391809796","doi":"10.2139/ssrn.4724190","title":"The Employment Effects of a Pandemic Wage Subsidy","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Canada; Statistics Canada; University of Toronto","funders":"","keywords":"Subsidy; Wage; Pandemic; Labour economics; Business; Coronavirus disease 2019 (COVID-19); Economics; Demographic economics; Medicine; Market economy","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":[0.002280679,0.0003139964,0.0006377688,0.0005392691,0.001015153,0.002138115,0.0007376299,0.003730611,0.02616658],"category_scores_gemma":[0.008315888,0.0002538965,0.0005989476,0.0006007991,0.001867942,0.001454974,0.001776719,0.002654427,0.0008675522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002094314,"about_ca_system_score_gemma":0.002296407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02143215,"about_ca_topic_score_gemma":0.01872635,"domain_scores_codex":[0.9990392,0.0003692231,0.00002615855,0.00006425182,0.0001216183,0.0003796257],"domain_scores_gemma":[0.996682,0.002201303,0.0003533193,0.0001306949,0.0002089787,0.0004236376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.02407722,0.006783903,0.06406298,0.001028161,0.0005154072,0.005539062,0.003480177,0.09141864,0.009180186,0.5403403,0.085958,0.167616],"study_design_scores_gemma":[0.004946663,0.007154881,0.3156717,0.0005606969,0.000889949,0.0006608206,0.02804976,0.07123932,0.003906747,0.4971133,0.06951378,0.0002924205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.861103,0.001413541,0.0007008222,0.0300605,0.0009040862,0.00007625326,0.0008988913,0.00004356995,0.1047994],"genre_scores_gemma":[0.9877029,0.0003831676,0.00008708543,0.001184122,0.0001843731,0.00001325759,0.00004862902,0.000009201561,0.01038723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02616658,"threshold_uncertainty_score":0.08753598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244130837209054,"score_gpt":0.3797286989696092,"score_spread":0.3553156152487038,"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."}}