{"id":"W3041538017","doi":"10.4178/epih.e2020051","title":"Estimating the number of Korean workers at high risk of COVID-19 infection","year":2020,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Welfare; Wage; Population; Environmental health; Health care; Occupational safety and health; Inequality; Census; Demography; Labour economics; Economic growth","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":[0.0007795566,0.0007197103,0.0003289391,0.001969207,0.000373633,0.000729987,0.0006449764,0.0005274098,0.002299055],"category_scores_gemma":[0.002403474,0.0004515281,0.0007237121,0.0008824104,0.0001863876,0.0006833718,0.0009437506,0.0003830467,0.0006235419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003323551,"about_ca_system_score_gemma":0.0006982966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01523845,"about_ca_topic_score_gemma":0.01078398,"domain_scores_codex":[0.9994639,0.000094221,0.0001246834,0.0001569209,0.00006437834,0.00009604215],"domain_scores_gemma":[0.998993,0.0001082759,0.0004347757,0.00007959213,0.0002282804,0.0001560825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003756613,0.00002231079,0.9940474,0.00005431787,0.00005267918,0.00005570115,0.00009011902,0.0002532761,0.0001923709,0.00004197252,0.0005856671,0.004566636],"study_design_scores_gemma":[0.00001227982,0.00007766193,0.9911314,0.0001140081,0.0001626844,0.0003543205,0.00128397,0.00422775,0.0002386118,0.0001436923,0.002233086,0.00002063119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98704,0.0007198507,0.001987067,0.0002164296,0.00003901151,0.0001320757,0.008227242,0.00003617129,0.001602086],"genre_scores_gemma":[0.9857138,0.0007979192,0.004061207,0.0001143454,0.00002278853,0.0001760264,0.008008271,0.000009160367,0.001096412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01523845,"threshold_uncertainty_score":0.03029954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1813844869943859,"score_gpt":0.4995425543747599,"score_spread":0.3181580673803739,"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."}}