{"id":"W4221044326","doi":"10.21203/rs.3.rs-1439969/v2","title":"Community Surveillance of Omicron in Ontario: Wastewater-based Epidemiology Comes of Age.","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Trent University; Ontario Tech University; University of Guelph; Health Sciences North; Carleton University; Ottawa Hospital; Toronto Metropolitan University; Western University; University of Toronto; Children's Hospital of Eastern Ontario; Public Health Agency of Canada; University of Ottawa; University of Waterloo; McMaster University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada; Ministère de l’Environnement, de la Protection de la nature et des Parcs; Government of Canada; Ontario Genomics; Genome Canada","keywords":"Wastewater; Epidemiology; Epidemiological surveillance; Environmental health; Environmental science; Geography; Business; Environmental planning; Environmental engineering; Medicine","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":[0.0007180705,0.000250439,0.0002898473,0.0007502896,0.001346099,0.001139869,0.0006775289,0.0006131072,0.003524693],"category_scores_gemma":[0.003580264,0.0002136674,0.0002931106,0.002230758,0.0004247801,0.0005082084,0.0008203021,0.0004781202,0.0003873485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01636232,"about_ca_system_score_gemma":0.03236677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850122,"about_ca_topic_score_gemma":0.9924609,"domain_scores_codex":[0.9988016,0.0001408452,0.00005957828,0.0001368799,0.0005052846,0.0003558133],"domain_scores_gemma":[0.9971163,0.0001749476,0.0005364857,0.0000823714,0.001537512,0.0005523537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001040381,0.00003223766,0.9695528,0.0001495992,0.00002826097,0.0001895417,0.001406697,0.0001129391,0.001009803,0.0001581209,0.009483172,0.01777265],"study_design_scores_gemma":[0.000005751297,0.00002724438,0.9941339,0.00005149874,0.00001250654,0.00004189694,0.001678451,0.0002216534,0.0001030725,0.00004034076,0.003678491,0.00000515869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498813,0.004128341,0.001141894,0.008821926,0.0001354893,0.0001876988,0.01659743,0.0001196851,0.01898618],"genre_scores_gemma":[0.9900629,0.001337961,0.0006492733,0.0007052824,0.00003710774,0.00003519806,0.002397982,0.00001947013,0.004754892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01636232,"threshold_uncertainty_score":0.1187176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2816181698204595,"score_gpt":0.4603790662043786,"score_spread":0.1787608963839191,"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."}}