{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007613682,0.0002386923,0.0006107251,0.0001737768,0.0001372181,0.00001878458,0.0002831283,0.0001148279,0.0001671504],"category_scores_gemma":[0.000321247,0.0001858139,0.0001236272,0.0002296085,0.0001868779,0.0001132613,0.0004448947,0.0003823021,0.00002483225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498697,"about_ca_system_score_gemma":0.00007034824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002012814,"about_ca_topic_score_gemma":0.0001539888,"domain_scores_codex":[0.9976622,0.0002271407,0.0007458615,0.0003887999,0.00044958,0.0005264515],"domain_scores_gemma":[0.9989544,0.0001436878,0.0002559481,0.0004792302,0.00009541816,0.00007132877],"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":[0.0003469023,0.0001856827,0.02083537,0.0002076333,0.0000873064,0.0001451274,0.01045174,0.00003332566,0.9667171,0.00001189773,0.0006721784,0.000305795],"study_design_scores_gemma":[0.003595193,0.0004016252,0.001854012,0.00008016624,0.0000592371,0.0001675754,0.001468486,0.0002652761,0.9860408,0.000188263,0.005665359,0.0002140229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977513,0.00008615803,0.00001454011,0.0006017785,0.000216218,0.0004882886,0.0001295149,0.00006158849,0.0006505903],"genre_scores_gemma":[0.9960746,0.000006185835,0.000207136,0.002966796,0.00005544485,0.00006198848,0.00004557261,0.00004950967,0.0005327449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01932375,"threshold_uncertainty_score":0.7577272,"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."}}