{"id":"W4312716076","doi":"10.1139/facets-2022-0148","title":"Wastewater Surveillance for SARS-CoV-2 RNA in Canada","year":2022,"lang":"en","type":"article","venue":"FACETS","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Alberta Innovates; University of Calgary; Children's Hospital of Eastern Ontario; Conestoga College; Polytechnique Montréal; University of Ottawa; University of British Columbia; Alberta Health Services; Canadian Water Network; Ontario Clean Water Agency; Suncor Energy (Canada); University of Alberta","funders":"","keywords":"Wastewater; Pandemic; Public health; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Public relations; Political science; Engineering; Medicine; Infectious disease (medical specialty); Waste management; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001802927,0.00008736774,0.0001785064,0.00006612969,0.00008585094,0.000006487172,0.00006535903,0.00001807564,0.00004508253],"category_scores_gemma":[0.0001240338,0.0000854121,0.00003475604,0.0001749173,0.000008104525,0.00002065875,0.00004537856,0.0001658317,0.000007999595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004564069,"about_ca_system_score_gemma":0.0003846084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4004923,"about_ca_topic_score_gemma":0.6653165,"domain_scores_codex":[0.9991627,0.00003466161,0.000176182,0.0001877379,0.0001913016,0.0002474313],"domain_scores_gemma":[0.999676,0.00007303541,0.00004381668,0.000157199,0.00002934775,0.0000205429],"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":[0.0001087359,0.0000312484,0.03352013,0.00004238197,0.00001675032,0.00007491781,0.000203922,0.0000392057,0.9534987,0.000007975741,0.009769255,0.002686825],"study_design_scores_gemma":[0.00166431,0.0001056991,0.007407328,0.00001404009,0.000004835608,0.00008597726,0.000348264,0.002057681,0.8533806,0.00002351895,0.1347751,0.0001326837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966494,0.00007864639,0.0000181303,0.0005769749,0.0005252663,0.0003118085,0.00003417514,0.00004086723,0.001764677],"genre_scores_gemma":[0.9961962,4.747343e-7,0.0001574816,0.003235214,0.00005320143,0.000086693,0.00001204146,0.00001908079,0.0002396806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2648242,"threshold_uncertainty_score":0.6034998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04158600183255833,"score_gpt":0.2844074399437966,"score_spread":0.2428214381112382,"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."}}