{"id":"W4296376746","doi":"10.1021/acsestwater.2c00143","title":"Wastewater-Based Surveillance Is an Effective Tool for Trending COVID-19 Prevalence in Communities: A Study of 10 Major Communities for 17 Months in Alberta","year":2022,"lang":"en","type":"article","venue":"ACS ES&T Water","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Institute of Population and Public Health; Alberta Innovates - Health Solutions","keywords":"Wastewater; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Population; Sewage treatment; 2019-20 coronavirus outbreak; Environmental science; Biology; Environmental health; Medicine; Virology; Environmental engineering; Disease; Internal medicine; Infectious disease (medical specialty)","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":[0.000684488,0.0003519887,0.0002908921,0.0009571151,0.001982012,0.001014311,0.0007758437,0.000534185,0.000683504],"category_scores_gemma":[0.001385952,0.0003922556,0.000346903,0.001619981,0.0008590058,0.0003526401,0.0007118905,0.0005421956,0.0001070843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007790047,"about_ca_system_score_gemma":0.005614672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9024701,"about_ca_topic_score_gemma":0.952153,"domain_scores_codex":[0.9992329,0.0001655907,0.00002885562,0.0001137938,0.0002046862,0.0002543074],"domain_scores_gemma":[0.9990172,0.0001069145,0.0001928593,0.00004529531,0.0003302797,0.0003074992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001660666,0.0001441579,0.9931433,0.00001386676,0.00003415897,0.0002248328,0.001740092,0.00009377306,0.000621614,0.0000219563,0.0001463407,0.003649723],"study_design_scores_gemma":[0.000005547997,0.000115663,0.9970481,0.000004272071,0.00001166169,0.00006463188,0.002372768,0.0001983438,0.00005435661,0.000009591291,0.0001104977,0.00000458694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995216,0.00004416878,0.00006807231,0.00002781347,0.000001233913,0.00001469917,0.00009946348,0.000002818525,0.0002201401],"genre_scores_gemma":[0.9992919,0.00006657257,0.0001300329,0.00002764351,0.000001887213,0.000007744403,0.0001388155,0.000001939359,0.0003333906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09752995,"threshold_uncertainty_score":0.1962086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05966500824734981,"score_gpt":0.3345763599385376,"score_spread":0.2749113516911878,"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."}}