{"id":"W3042036470","doi":"","title":"Labor markets in crisis: The causal impact of Canada's COVD19 economic shutdown on hours worked for workers across the earnings distribution","year":2020,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Earnings; Shutdown; Distribution (mathematics); Shock (circulatory); Coronavirus disease 2019 (COVID-19); Economics; Demographic economics; Labour economics; Medicine; Engineering; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009069912,0.0002819486,0.000475458,0.001514606,0.001873227,0.002002926,0.0007830081,0.0005701518,0.005517688],"category_scores_gemma":[0.005561356,0.0002036389,0.000504266,0.00314622,0.0009022054,0.0004933061,0.001373405,0.001807126,0.0003205466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01792631,"about_ca_system_score_gemma":0.02610281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918325,"about_ca_topic_score_gemma":0.990171,"domain_scores_codex":[0.998964,0.00009141802,0.0000303196,0.00008215904,0.0002535904,0.0005785621],"domain_scores_gemma":[0.9962443,0.0007057315,0.0009135631,0.0001189205,0.001022113,0.0009955086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001614912,0.00006900577,0.9710535,0.00003920769,0.00007718013,0.0001852921,0.0007545987,0.002154961,0.0001136375,0.002549452,0.01543547,0.007406212],"study_design_scores_gemma":[0.00002057628,0.00001684839,0.9891122,0.00005688959,0.00003465407,0.00001651458,0.002536539,0.002868879,0.00009862419,0.0005601131,0.004660871,0.00001731986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949793,0.0009986043,0.0003467888,0.01067952,0.00007295396,0.0000697947,0.0257114,0.00003235621,0.01229555],"genre_scores_gemma":[0.9904259,0.0005633851,0.0001453585,0.0004139888,0.00003226721,0.00001904421,0.0056968,0.00001220113,0.002691165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01792631,"threshold_uncertainty_score":0.1300651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383842420335023,"score_gpt":0.2730843509448524,"score_spread":0.2492459267415022,"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."}}