{"id":"W4408216480","doi":"10.1021/acsestwater.4c00958","title":"Variability of Clinical Metrics in Small Population Communities Drive Perceived Wastewater and Environmental Surveillance Data Quality: Ontario, Canada-Wide Study","year":2025,"lang":"en","type":"article","venue":"ACS ES&T Water","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; McMaster University; Trent University; University of Guelph; Ontario Tech University; Queen's University; University of Toronto; Western University; Canadian Institute for Public Safety Research and Treatment; Health Sciences North; Toronto Metropolitan University; Carleton University; University of Waterloo; Simon Fraser University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l’Environnement, de la Protection de la nature et des Parcs; Canadian Institutes of Health Research; Government of Ontario","keywords":"Quality (philosophy); Data quality; Population; Environmental health; Geography; Environmental science; Environmental planning; Business; Environmental resource management; Medicine; Marketing","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":[0.00408238,0.0003913514,0.0004865549,0.001421517,0.003450027,0.002274507,0.001409656,0.0004787169,0.002064159],"category_scores_gemma":[0.0166743,0.0004378147,0.0008520022,0.005223407,0.001730159,0.0008176994,0.001617881,0.0008181983,0.0002253598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04333295,"about_ca_system_score_gemma":0.07962161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953747,"about_ca_topic_score_gemma":0.9970299,"domain_scores_codex":[0.9962121,0.0006268047,0.000251857,0.0006264392,0.001431225,0.0008515386],"domain_scores_gemma":[0.9746071,0.002988619,0.004291605,0.001381279,0.01425409,0.002477297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005190615,0.00002290446,0.9908453,0.00004902429,0.00007706883,0.00005078814,0.002329039,0.0002043721,0.0001414603,0.0002521735,0.002277457,0.003698451],"study_design_scores_gemma":[0.000006353968,0.00001513816,0.9933074,0.0000480711,0.00003728755,0.0000298968,0.002809685,0.0009122987,0.00009137276,0.00007295494,0.00265399,0.00001570265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794422,0.0007438915,0.001895217,0.001943241,0.00003486009,0.0001708057,0.009581699,0.00004177976,0.006146325],"genre_scores_gemma":[0.994606,0.0002525974,0.0009298978,0.0002435568,0.00001207782,0.00005955124,0.002365856,0.0000215714,0.001508926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04333295,"threshold_uncertainty_score":0.314404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097471831955943,"score_gpt":0.3499902627876265,"score_spread":0.2402430795920322,"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."}}