{"id":"W4385699157","doi":"10.1021/envhealth.3c00089","title":"Quantification and Differentiation of SARS-CoV-2 Variants in Wastewater for Surveillance","year":2023,"lang":"en","type":"article","venue":"Environment & Health","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates; Canada Research Chairs; Alberta Health; Social Sciences and Humanities Research Council of Canada; University of Alberta; Government of Canada; Faculty of Medicine and Dentistry, University of Alberta; Alberta Precision Laboratories","keywords":"Wastewater; Multiplex; RNA; RNA extraction; Biology; Virology; Molecular biology; Real-time polymerase chain reaction; Polymerase chain reaction; Virus; Reverse transcriptase; Chemistry; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004361435,0.0006387503,0.0005190878,0.001457183,0.001060915,0.001275245,0.0005195229,0.0006280201,0.001015453],"category_scores_gemma":[0.0006843285,0.0003166373,0.0003070002,0.001486039,0.0004497892,0.0002709327,0.0003452866,0.0004582281,0.0004693466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003024857,"about_ca_system_score_gemma":0.00301869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3341421,"about_ca_topic_score_gemma":0.5578966,"domain_scores_codex":[0.9987814,0.00003577788,0.00003086882,0.0001633811,0.0008393766,0.0001491765],"domain_scores_gemma":[0.9995728,0.00002922341,0.00004346724,0.00001202554,0.0003159676,0.00002646803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001508994,0.0000586171,0.04773718,0.0001243431,0.00002280723,0.00009735174,0.0003267181,0.0006045217,0.9390905,0.0001101771,0.0003821876,0.01129467],"study_design_scores_gemma":[0.00002180804,0.0003185569,0.4547965,0.00005698179,0.00007943768,0.0004720246,0.00149863,0.008864974,0.5244026,0.0001586047,0.009258064,0.00007181622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807488,0.0008138274,0.0107095,0.00009179217,0.00002828448,0.0002623228,0.003193047,0.0002316417,0.003920833],"genre_scores_gemma":[0.9476538,0.001515939,0.03378582,0.0002169358,0.00001367886,0.0002676529,0.006686128,0.00006196978,0.009798091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3341421,"threshold_uncertainty_score":0.6643943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07746051706921944,"score_gpt":0.3296759492593416,"score_spread":0.2522154321901221,"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."}}