{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007186036,0.0001851748,0.000329619,0.0003051724,0.0003455316,0.00001328735,0.0001493593,0.00006815308,0.000006534915],"category_scores_gemma":[0.0005560569,0.0001764941,0.00008848438,0.0003621929,0.00003657206,0.00004644066,0.0000349881,0.0002897186,0.00001497138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005802843,"about_ca_system_score_gemma":0.000575049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02032613,"about_ca_topic_score_gemma":0.06101561,"domain_scores_codex":[0.998545,0.00003944393,0.0003530956,0.0003875172,0.0002127986,0.000462164],"domain_scores_gemma":[0.9989055,0.0003130895,0.0001186787,0.0004089736,0.0001165754,0.000137186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001497586,0.0001600149,0.0569609,0.0004365785,0.0001729009,0.00003777688,0.001728208,0.1181064,0.7777323,0.003094224,0.02584767,0.01422546],"study_design_scores_gemma":[0.0009809415,0.0003129778,0.0001326581,0.00004391573,0.00006227625,0.00006240844,0.0001559469,0.8972674,0.07771688,0.001558226,0.02147679,0.0002295663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7849891,0.00004549919,0.2089781,0.003809815,0.00009924202,0.001196155,0.00008822884,0.0001686325,0.0006252198],"genre_scores_gemma":[0.9440064,4.936992e-7,0.02343925,0.03110969,0.0001230443,0.001081713,0.00005747393,0.00006409129,0.0001178039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.779161,"threshold_uncertainty_score":0.9861976,"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."}}