{"id":"W4225310480","doi":"10.1016/j.epidem.2022.100560","title":"A wastewater-based epidemic model for SARS-CoV-2 with application to three Canadian cities","year":2022,"lang":"en","type":"article","venue":"Epidemics","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; Alberta Hospital Edmonton; University of Alberta; University of Ottawa; Public Health Agency of Canada","funders":"Ministry of Environment; Université Laval","keywords":"Wastewater; Environmental health; Population; Public health; Basic reproduction number; Epidemiology; Transmission (telecommunications); Medicine; Environmental science; Computer science; Environmental engineering; Pathology; Telecommunications","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":[0.001028373,0.00123144,0.001085584,0.001024747,0.001947297,0.001767541,0.0031676,0.002895014,0.005562189],"category_scores_gemma":[0.002823088,0.0005589196,0.001358522,0.001645801,0.001927741,0.0006602668,0.001841832,0.001618966,0.0003580925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01558682,"about_ca_system_score_gemma":0.01280484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9372878,"about_ca_topic_score_gemma":0.8572489,"domain_scores_codex":[0.9994583,0.0001344073,0.00001825428,0.00007994482,0.00006292307,0.0002462065],"domain_scores_gemma":[0.9984432,0.0005877584,0.0001651763,0.00004017182,0.0004956375,0.0002680415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008050153,0.0000500921,0.00489143,0.0000281107,0.00002612578,0.0001857622,0.0000911235,0.9817301,0.0002889854,0.01005522,0.001515411,0.001057144],"study_design_scores_gemma":[0.00007296774,0.00002597273,0.002368399,0.00000941281,0.00002458994,0.00001895442,0.0002344762,0.9947047,0.00004444348,0.001606474,0.0008567287,0.00003289821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.874893,0.001285978,0.04723544,0.007294189,0.0002475769,0.0004643219,0.01279435,0.0003593826,0.05542567],"genre_scores_gemma":[0.9721813,0.0005722813,0.006699994,0.0003393734,0.00004123216,0.0001862344,0.002325633,0.00003650856,0.01761743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06271219,"threshold_uncertainty_score":0.126163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07396732294252165,"score_gpt":0.3124884196850803,"score_spread":0.2385210967425586,"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."}}