{"id":"W4281647930","doi":"10.1128/mra.00362-22","title":"Metagenomics of Wastewater Influent from Wastewater Treatment Facilities across Ontario in the Era of Emerging SARS-CoV-2 Variants of Concern","year":2022,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Windsor; University of Ottawa; Ontario Tech University; Children's Hospital of Eastern Ontario; Health Sciences North; Toronto Metropolitan University; Queen's University; University of Guelph","funders":"Ontario Genomics","keywords":"Metagenomics; Wastewater; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Delta; Sewage treatment; 2019-20 coronavirus outbreak; Biology; Virology; Environmental science; Medicine; Gene; Genetics; Environmental engineering; Internal medicine; Engineering","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":[0.0004742733,0.0002295937,0.0006374388,0.0001065235,0.0001231677,0.000007301488,0.0002519613,0.00008293104,0.0001244377],"category_scores_gemma":[0.00002435967,0.0001654651,0.0001589521,0.0001758529,0.0002324286,0.00003765532,0.0002247712,0.0002947741,0.000005381348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003289673,"about_ca_system_score_gemma":0.0001132212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02685609,"about_ca_topic_score_gemma":0.003511649,"domain_scores_codex":[0.9980751,0.0002630126,0.000814499,0.000333665,0.0001537189,0.0003599476],"domain_scores_gemma":[0.9990095,0.00009958571,0.0003748667,0.0004359745,0.00006606302,0.00001398764],"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":[0.0006201454,0.0003290302,0.05172259,0.00003194312,0.0003710648,0.00002491797,0.04910579,0.00008822712,0.8973553,0.000001628352,0.00007009911,0.00027928],"study_design_scores_gemma":[0.003701168,0.000997292,0.0026191,0.00006642425,0.0001166381,0.00006967737,0.01455853,0.0000265591,0.8568971,0.00001336407,0.1207885,0.0001456702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970642,0.0002670585,0.000002861696,0.0000859741,0.0001295681,0.0004878489,0.00171519,0.00001135468,0.0002359595],"genre_scores_gemma":[0.9984194,0.000004192243,0.0001205732,0.0005871709,0.00001956021,0.00004936889,0.0004857974,0.00001596079,0.0002979872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1207184,"threshold_uncertainty_score":0.9796242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05488384774885326,"score_gpt":0.2959750652090532,"score_spread":0.2410912174601999,"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."}}