{"id":"W4386849357","doi":"10.3390/admsci13090209","title":"How Do the Labour Force Characteristics Encounter COVID-19 Economic Consequences—A Canadian Experience","year":2023,"lang":"en","type":"article","venue":"Administrative Sciences","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Microdata (statistics); Unemployment; Pandemic; Coronavirus disease 2019 (COVID-19); Immigration; Economics; Population; Demographic economics; Labour supply; Inequality; Labour economics; Economic growth; Political science; Sociology","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":[0.002922803,0.0003761117,0.0006281072,0.002410456,0.0163313,0.005292082,0.001908984,0.001546733,0.003993887],"category_scores_gemma":[0.008649222,0.0004202622,0.0006189941,0.005969401,0.004677795,0.002046761,0.003490517,0.002600485,0.0003588909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06118355,"about_ca_system_score_gemma":0.07044295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941193,"about_ca_topic_score_gemma":0.9959846,"domain_scores_codex":[0.996609,0.0003836625,0.0001037715,0.0002811532,0.0009298399,0.001692638],"domain_scores_gemma":[0.9961274,0.0004336772,0.0005014523,0.0001351998,0.00145144,0.001350849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003144123,0.0001445994,0.3794956,0.0002530426,0.00007893188,0.001781546,0.5389437,0.0002809513,0.000785939,0.008739972,0.01504015,0.05414115],"study_design_scores_gemma":[0.00001112243,0.0000702743,0.3838695,0.000246981,0.00002732618,0.0004705223,0.5611665,0.0002473981,0.0001545721,0.0005086727,0.05308936,0.0001377041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644212,0.002509639,0.0001581793,0.01121937,0.0001531918,0.00006310891,0.001066607,0.00001416165,0.02039468],"genre_scores_gemma":[0.9936062,0.001816485,0.00008942868,0.0007907905,0.00002075118,0.00001319692,0.0002740095,0.000012864,0.003376337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06118355,"threshold_uncertainty_score":0.4439198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1779356346024063,"score_gpt":0.4667856773991081,"score_spread":0.2888500427967018,"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."}}