{"id":"W4407302009","doi":"10.1101/2025.02.07.25321887","title":"SARS-CoV-2 Aggregated Activity Level Across Ontario Canada, Measured with the US CDC Wastewater Viral Activity Level (WVAL) Metric","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Waterloo; University of Windsor; Western University; University of Ottawa","funders":"Centers for Disease Control and Prevention; Ministère de l’Environnement, de la Protection de la nature et des Parcs","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Metric (unit); 2019-20 coronavirus outbreak; Wastewater; Physical activity; Environmental science; Virology; Business; Medicine; Environmental engineering; Marketing","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001361643,0.001036211,0.001447116,0.0003914891,0.0006210501,0.0001985762,0.0007282287,0.0006441943,0.00002922823],"category_scores_gemma":[0.0009035016,0.0007093399,0.0003854214,0.001147651,0.0002670687,0.0001631515,0.0008234502,0.003634488,0.00001746553],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002895941,"about_ca_system_score_gemma":0.006024156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9501312,"about_ca_topic_score_gemma":0.9899505,"domain_scores_codex":[0.9947642,0.0004646394,0.0005716585,0.001451524,0.001604094,0.001143856],"domain_scores_gemma":[0.9962702,0.0004105975,0.0006886997,0.001797776,0.0006722081,0.0001605521],"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":[0.002124463,0.0004554543,0.07903829,0.000596089,0.001855885,0.0006533047,0.001761041,0.0001168107,0.9010084,0.000003107697,0.001414801,0.0109724],"study_design_scores_gemma":[0.001796522,0.0001227437,0.2522987,0.0004599199,0.0004284508,0.0001554069,0.00004607139,0.0004790234,0.7373053,0.00001096984,0.006299379,0.0005974289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921147,0.0001236704,0.0006776703,0.001327807,0.001667347,0.001470762,0.0003232317,0.0002926082,0.002002207],"genre_scores_gemma":[0.9929383,0.000003635009,0.0003422846,0.001535466,0.0002470854,0.0001751896,0.00002304935,0.000100173,0.004634777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1732604,"threshold_uncertainty_score":0.9996108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09675454545446527,"score_gpt":0.30904724016746,"score_spread":0.2122926947129947,"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."}}