{"id":"W4281553144","doi":"10.1016/j.diagmicrobio.2022.115732","title":"User acceptability of saliva and gargle samples for identifying COVID-19 positive high-risk workers and household contacts","year":2022,"lang":"en","type":"article","venue":"Diagnostic Microbiology and Infectious Disease","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Medical Research Council; University of Edinburgh; Scottish Government; NHS Greater Glasgow and Clyde","keywords":"Saliva; Medicine; Gold standard (test); Coronavirus disease 2019 (COVID-19); Throat; Population; Cohort; Nose; Pandemic; Internal medicine; Disease; Surgery; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005310842,0.0003175179,0.0002980724,0.000447146,0.0004676645,0.001111638,0.0003447819,0.00061951,0.004542018],"category_scores_gemma":[0.01968683,0.0001396539,0.0004478827,0.0001745546,0.0002770638,0.000662288,0.0006407672,0.0002924655,0.0009142464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202721,"about_ca_system_score_gemma":0.0002349176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896536,"about_ca_topic_score_gemma":0.001606604,"domain_scores_codex":[0.9943548,0.003054149,0.0003968005,0.0003365347,0.001613199,0.00024446],"domain_scores_gemma":[0.9919913,0.004099014,0.0009544904,0.0005066132,0.002059455,0.0003892058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002910952,0.0004816272,0.8698252,0.0003511575,0.0001390902,0.0004216229,0.006096805,0.0001418205,0.01781271,0.0001353199,0.001474778,0.1002089],"study_design_scores_gemma":[0.00003913129,0.005770024,0.9635248,0.0002716903,0.0001428596,0.001948251,0.009010829,0.002354691,0.01052519,0.0002181673,0.006110566,0.00008368581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940708,0.000375493,0.001103663,0.0001986103,0.0000307451,0.0001172596,0.0002598443,0.00003799204,0.003805584],"genre_scores_gemma":[0.9977342,0.0001174811,0.001093953,0.0001488124,0.0000121592,0.00004405903,0.0001227785,0.000007134642,0.0007194531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005310842,"threshold_uncertainty_score":0.02808678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030204447829493,"score_gpt":0.2926139806753251,"score_spread":0.2624095328458321,"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."}}