{"id":"W4315866317","doi":"10.12688/wellcomeopenres.16729.2","title":"Occupational differences in COVID-19 incidence, severity, and mortality in the United Kingdom: Available data and framework for analyses","year":2023,"lang":"en","type":"preprint","venue":"Wellcome Open Research","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"Colt Foundation; Wellcome Trust","keywords":"Medicine; Incidence (geometry); Confounding; Epidemiology; Public health; Environmental health; Demography; Nursing; Internal medicine","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":[0.03492818,0.001291617,0.002954115,0.01468317,0.0009529731,0.005094404,0.002462369,0.001462968,0.005870239],"category_scores_gemma":[0.1220398,0.001321987,0.007086017,0.02449888,0.001439954,0.002130821,0.006129717,0.001516851,0.001235873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006647206,"about_ca_system_score_gemma":0.005872831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2225257,"about_ca_topic_score_gemma":0.1694623,"domain_scores_codex":[0.9434099,0.02809285,0.01508111,0.003782529,0.007555012,0.002078569],"domain_scores_gemma":[0.8825051,0.07191454,0.02334486,0.007359533,0.01307048,0.001805563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006496431,0.0001067886,0.8894711,0.01408448,0.005436511,0.0005009722,0.003138706,0.004286972,0.0001968428,0.007301939,0.02908433,0.04574165],"study_design_scores_gemma":[0.0001503163,0.0002367136,0.9334154,0.01578793,0.002044099,0.000306395,0.003951274,0.003025454,0.0002094801,0.002825801,0.03786654,0.0001805885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2408608,0.1107691,0.03231438,0.01740062,0.0009896749,0.005238012,0.5636593,0.0004971123,0.02827106],"genre_scores_gemma":[0.6887761,0.04206946,0.04307285,0.003846063,0.0004432496,0.01221609,0.2068734,0.0002306505,0.002472208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2225257,"threshold_uncertainty_score":0.442461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8681010072077481,"score_gpt":0.6545475246692982,"score_spread":0.2135534825384499,"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."}}