{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004520708,0.00006974339,0.000182143,0.0001152665,0.00004160079,0.000004389113,0.00002063636,0.00003756947,0.000003960334],"category_scores_gemma":[0.00005537466,0.00006503249,0.00002131716,0.0001024041,0.00002174078,0.00003167261,0.00001447158,0.00005619169,0.00001701154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006803673,"about_ca_system_score_gemma":0.00001706816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001027766,"about_ca_topic_score_gemma":0.00003692424,"domain_scores_codex":[0.9992007,0.00004758176,0.0002800502,0.000194195,0.0001147765,0.0001626724],"domain_scores_gemma":[0.9996411,0.00007586447,0.0001178537,0.0001401071,0.000005380903,0.00001965146],"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":[0.00006736979,0.0001001151,0.130758,0.0002622964,0.00000892917,8.194293e-7,0.0003678088,0.000007927546,0.8615032,0.00004559779,0.0001293052,0.006748545],"study_design_scores_gemma":[0.0009900008,0.0001672234,0.7936608,0.00005366588,0.000003636952,0.000003257592,0.00004564322,0.005312047,0.1989496,0.00007487983,0.0006863449,0.00005289469],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971867,0.00007425655,0.001145981,0.0009674387,0.00008383401,0.0004765686,0.000009641934,0.00003397527,0.0000216595],"genre_scores_gemma":[0.9990096,0.0001083269,0.0004433005,0.0002828259,0.00002758314,0.00003307503,0.00004425388,0.00001322982,0.00003776746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6629028,"threshold_uncertainty_score":0.2651948,"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."}}