{"id":"W4205248070","doi":"10.1101/2022.01.13.21268270","title":"Health and Economic Consequences of Universal Paid Sick Leave Policies During the COVID-19 Pandemic","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Institute for Clinical Evaluative Sciences; Public Health Ontario; Hospital for Sick Children; Health Sciences Centre; University Health Network; SickKids Foundation; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Sick leave; Pandemic; Population; Presenteeism; Productivity; Medicine; Health care; Coronavirus disease 2019 (COVID-19); Demography; Business; Demographic economics; Environmental health; Economics; Economic growth; Disease; Sociology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002368899,0.0004331075,0.0006578941,0.0002494094,0.0004530551,0.001107072,0.001111005,0.0009071719,0.002232475],"category_scores_gemma":[0.007297308,0.0002875781,0.0006535965,0.0002600389,0.0007371482,0.0004626452,0.0008145242,0.0008528397,0.0001077361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01038468,"about_ca_system_score_gemma":0.006784477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6665742,"about_ca_topic_score_gemma":0.5894751,"domain_scores_codex":[0.9988896,0.0004511122,0.00003678404,0.0001269457,0.0001026247,0.0003929466],"domain_scores_gemma":[0.9976807,0.0008961916,0.0006506978,0.0001126016,0.0003400376,0.0003198319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002390349,0.0003814342,0.3888125,0.0002359049,0.0007968992,0.0005010869,0.0002293984,0.582079,0.001001045,0.00515093,0.006284741,0.01213668],"study_design_scores_gemma":[0.001002671,0.001331501,0.3311408,0.0002126188,0.0007056861,0.00009950351,0.001638216,0.6551366,0.0008464415,0.003487323,0.004307436,0.00009122756],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911026,0.0004731907,0.00111935,0.001835953,0.00003341248,0.00007277844,0.002977,0.00003487109,0.002350799],"genre_scores_gemma":[0.9986792,0.0001103624,0.0001590912,0.0001006299,0.000005450744,0.00001581141,0.0004746637,0.000001845272,0.0004529208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6665742,"threshold_uncertainty_score":0.6707789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07017063246413241,"score_gpt":0.3975211074741227,"score_spread":0.3273504750099903,"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."}}