{"id":"W4280499618","doi":"10.3390/ijerph19105865","title":"Non-Standard Employment and Unemployment during the COVID-19 Crisis: Economic and Health Findings from a Six-Country Survey Study","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; McMaster University","funders":"Queens College, City University of New York; Pontificia Universidad Católica de Chile; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Vrije Universiteit Brussel; Vetenskapsrådet; Karolinska Institutet","keywords":"Unemployment; Pandemic; Demographic economics; Context (archaeology); Coronavirus disease 2019 (COVID-19); Temporary work; Precarious work; Business; Work (physics); Economic growth; Economics; Medicine; Geography","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":[0.002131617,0.0002482952,0.0004051221,0.001246609,0.0008434561,0.001021815,0.0007041328,0.000630707,0.001522111],"category_scores_gemma":[0.004561833,0.0003622929,0.0007333659,0.002117487,0.0004287889,0.000954458,0.001951083,0.0009849023,0.0002879913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006437638,"about_ca_system_score_gemma":0.000792037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02865945,"about_ca_topic_score_gemma":0.04127834,"domain_scores_codex":[0.9988962,0.0003743344,0.0001883771,0.0001144904,0.0001362807,0.0002902497],"domain_scores_gemma":[0.9966484,0.0005679128,0.001457074,0.0001658295,0.0004268406,0.0007339728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003737167,0.00005690201,0.9972653,0.0000533391,0.00004417949,0.00005515163,0.001212865,0.00003047968,0.00004606413,0.00002809966,0.0002493185,0.0009209699],"study_design_scores_gemma":[0.000001673359,0.00003106883,0.995893,0.00003152955,0.000009461165,0.00003518308,0.003729791,0.0000481993,0.000008332824,0.00000644326,0.0002012269,0.000004031847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980416,0.0002177259,0.00004749238,0.0001130174,0.000007551065,0.00002707895,0.001156015,0.000001097501,0.0003883754],"genre_scores_gemma":[0.9980995,0.0003695376,0.00008680639,0.00008832185,0.000008621332,0.00005325501,0.001112158,0.000002247495,0.0001795768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02865945,"threshold_uncertainty_score":0.05698526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1497755089485937,"score_gpt":0.4756144435375613,"score_spread":0.3258389345889676,"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."}}