{"id":"W4385717385","doi":"10.1016/j.watres.2023.120469","title":"Campus node-based wastewater surveillance enables COVID-19 case localization and confirms lower SARS-CoV-2 burden relative to the surrounding community","year":2023,"lang":"en","type":"article","venue":"Water Research","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta; Alberta Health; Calgary General Hospital; Calgary Laboratory Services; Alberta Health Services; Athabasca University; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Health; University of Calgary","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Wastewater; Virology; Node (physics); Betacoronavirus; Geography; Biology; Environmental science; Medicine; Environmental engineering; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005245001,0.0001803437,0.0002584832,0.0004696385,0.001445981,0.0001859162,0.0001770792,0.0001217529,0.0000291907],"category_scores_gemma":[0.002625527,0.0001087207,0.00005030461,0.0009614205,0.0003514876,0.0001110353,0.0002967619,0.0008564282,0.0003242904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002636795,"about_ca_system_score_gemma":0.0001384934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01397519,"about_ca_topic_score_gemma":0.002431446,"domain_scores_codex":[0.9965616,0.001523792,0.0002912252,0.0003458487,0.0005954242,0.0006820385],"domain_scores_gemma":[0.9978925,0.0009355078,0.00003618707,0.0005944436,0.0003942621,0.0001471006],"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":[0.0006931543,0.00008325502,0.01370225,0.0004127409,0.0000856928,0.002948901,0.0186808,0.0005755257,0.956946,0.00004603518,0.005227693,0.0005980036],"study_design_scores_gemma":[0.002563447,0.0005372135,0.0003865293,0.0001818169,0.00002220618,0.001165482,0.005664882,0.02762589,0.8807566,0.0003984589,0.08038063,0.0003168184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892689,0.00003405788,0.001329196,0.007622693,0.0001631287,0.0008555732,0.00001657263,0.0002164731,0.000493425],"genre_scores_gemma":[0.9966747,0.000003884409,0.00005270447,0.002408615,0.0001262351,0.00008251816,0.00005237391,0.00004522793,0.0005537676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07618931,"threshold_uncertainty_score":0.999854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1849171014796321,"score_gpt":0.415297942637107,"score_spread":0.2303808411574749,"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."}}