{"id":"W4366774211","doi":"10.1021/acsmeasuresciau.3c00005","title":"Multiplex Assays Enable Simultaneous Detection and Identification of SARS-CoV-2 Variants of Concern in Clinical and Wastewater Samples","year":2023,"lang":"en","type":"article","venue":"ACS Measurement Science Au","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Laboratory of Public Health; University of Alberta Hospital; 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; Faculty of Medicine and Dentistry, University of Alberta; Alberta Precision Laboratories","keywords":"Multiplex; Biology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Virology; Computational biology; Molecular biology; Medicine; Genetics; Pathology","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":[0.0056068,0.00009096532,0.0002327283,0.0003008242,0.0001031432,0.00002353616,0.00008601872,0.00006049558,8.95733e-7],"category_scores_gemma":[0.007316976,0.00007958751,0.00002544129,0.0007863014,0.0005180904,0.0001816955,0.00005985544,0.0001057373,0.000004950274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003369,"about_ca_system_score_gemma":0.0001764656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006636336,"about_ca_topic_score_gemma":0.0004493073,"domain_scores_codex":[0.9979656,0.00007062042,0.0006024718,0.0003484047,0.0007877987,0.0002250868],"domain_scores_gemma":[0.9988682,0.0002178118,0.0002184524,0.0002063526,0.0004517337,0.00003750145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005045971,0.00004789553,0.06452324,0.00005816314,0.000008379839,0.000003997721,0.0004107304,0.00001705663,0.9244975,0.000005963188,0.000002665664,0.01037389],"study_design_scores_gemma":[0.0008648825,0.0001410001,0.1436612,0.000102182,0.00002087375,0.0000148607,0.0002929694,0.01329537,0.8414116,0.0001006593,0.00003273464,0.00006164229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989756,0.00003103393,0.000282291,0.00005738075,0.0002091148,0.0002996805,0.000002110042,0.00003767894,0.0001051406],"genre_scores_gemma":[0.9997156,0.00001400387,0.0001596236,0.00005882162,0.00002949218,0.000007481274,5.138748e-7,0.000007565996,0.000006939919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08308595,"threshold_uncertainty_score":0.8759632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2185537909403604,"score_gpt":0.3782522210200178,"score_spread":0.1596984300796574,"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."}}