{"id":"W4413609541","doi":"10.1016/j.scitotenv.2025.180200","title":"One for all and all for one health: Harmonizing SARS-CoV-2 wastewater surveillance results across a laboratory network","year":2025,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences North; Trent University; Carleton University; Toronto Metropolitan University; University of Guelph; Ontario Tech University; University of Waterloo; Public Health Agency of Canada; University of Ottawa; University of Windsor; McMaster University; Nutreco (Canada); Queen's University; University of Toronto; Western University; St. Joseph’s Healthcare Hamilton","funders":"Ministère de l’Environnement, de la Protection de la nature et des Parcs; University of Toronto; Michigan Technological University; University of Alberta; Trent University; Public Health Agency of Canada; University of Ottawa","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Wastewater; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Environmental health; Virology; Environmental science; Medicine; Environmental engineering; Outbreak; Infectious disease (medical specialty)","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":[0.002543973,0.0001194907,0.0002399402,0.00002884988,0.0004482536,0.00003219671,0.0002358256,0.00003601098,7.221928e-7],"category_scores_gemma":[0.0003014948,0.00007862059,0.00006569684,0.0002241071,0.0006595343,0.00006371226,0.0002486416,0.0001176227,0.000002560179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491958,"about_ca_system_score_gemma":0.00008382559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006838188,"about_ca_topic_score_gemma":0.000008161559,"domain_scores_codex":[0.9985232,0.00005189119,0.0003297466,0.0003391927,0.0002946069,0.0004613432],"domain_scores_gemma":[0.9990525,0.0002208729,0.0001930458,0.0004649812,0.00003169238,0.00003689164],"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":[0.0003536122,0.00007854777,0.00003142251,0.00007829951,0.00005208791,1.564395e-7,0.0007590919,0.0005157976,0.9954976,0.00008193121,0.0003857782,0.002165653],"study_design_scores_gemma":[0.001956071,0.0003537852,0.007516293,0.0002151407,0.00004391466,0.000006259704,0.0001669894,0.006101359,0.9799325,0.000452668,0.003136362,0.0001186342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854447,0.0004291239,0.0002590385,0.01232244,0.0002563903,0.001116902,0.00005095686,0.00002321587,0.00009723056],"genre_scores_gemma":[0.9945315,0.00003066809,0.003043655,0.002024574,0.00008356164,0.00005703889,0.000001736187,0.00001199737,0.0002153308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0155651,"threshold_uncertainty_score":0.344765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07561837808516331,"score_gpt":0.3182275536715498,"score_spread":0.2426091755863864,"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."}}