{"id":"W4213416617","doi":"10.1021/acsestwater.1c00349","title":"RNA in Municipal Wastewater Reveals Magnitudes of COVID-19 Outbreaks across Four Waves Driven by SARS-CoV-2 Variants of Concern","year":2022,"lang":"en","type":"article","venue":"ACS ES&T Water","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Public Health Agency of Canada; Global Institute for Water Security; University of Guelph; Saskatoon City Hospital; University of Saskatchewan","funders":"Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Public Health Agency of Canada","keywords":"Wastewater; Normalization (sociology); Population; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Viral load; Environmental science; Outbreak; Coronavirus; Biology; Virus; Medicine; Environmental engineering; Virology; Internal medicine; Environmental health","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":[0.0003268951,0.0003260961,0.0002326666,0.0008846523,0.0004362652,0.0006524063,0.0001587906,0.0003269999,0.001058898],"category_scores_gemma":[0.0004118925,0.0001676144,0.0002561705,0.001018615,0.000292903,0.0001376921,0.0002958299,0.0002583816,0.0004011359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009763742,"about_ca_system_score_gemma":0.001147222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1015469,"about_ca_topic_score_gemma":0.207601,"domain_scores_codex":[0.9995943,0.00003246079,0.00002004377,0.000122205,0.0001608003,0.00007033083],"domain_scores_gemma":[0.9997712,0.00002144927,0.00004521422,0.00001237444,0.0001292003,0.00002066031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005173514,0.0001267166,0.5143834,0.0001629549,0.0000824865,0.0001837065,0.0009904112,0.001164468,0.4470536,0.0001666413,0.00124511,0.03392316],"study_design_scores_gemma":[0.00001028568,0.0003665639,0.9020543,0.00002632332,0.00006952581,0.0001927747,0.001468962,0.005034585,0.08747667,0.00009952838,0.003175326,0.00002513088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907959,0.0001884291,0.003276502,0.00006639884,0.00001163109,0.0000733106,0.00323634,0.0002373158,0.002114286],"genre_scores_gemma":[0.9881383,0.00024447,0.004912413,0.000117589,0.000004749018,0.00006208392,0.00387453,0.00002936843,0.002616557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1015469,"threshold_uncertainty_score":0.2019117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08098343099454139,"score_gpt":0.3477230123669226,"score_spread":0.2667395813723812,"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."}}