{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001249596,0.0002096988,0.0004798726,0.0003957222,0.0003068624,0.00002511185,0.0002790608,0.00005543229,0.0001111665],"category_scores_gemma":[0.0002386466,0.000177033,0.00007712274,0.0002023299,0.0000747814,0.0001170327,0.0001578723,0.0002778766,0.000001154754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002642006,"about_ca_system_score_gemma":0.00005574344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01846246,"about_ca_topic_score_gemma":0.02050025,"domain_scores_codex":[0.9981306,0.0006235937,0.0004679951,0.0002096455,0.0002077211,0.0003604903],"domain_scores_gemma":[0.9969362,0.002267179,0.0001134253,0.0005585017,0.00008202458,0.0000426393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007684877,0.00331119,0.6737761,0.002493225,0.0001805596,0.00002561529,0.2714537,0.002158465,0.03741957,0.00001334544,0.0003095343,0.001173811],"study_design_scores_gemma":[0.06876259,0.0245613,0.03305947,0.0007390162,0.000284088,0.0000727678,0.2556812,0.0498094,0.5566661,0.0002723902,0.008711164,0.001380434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963301,0.00002742837,0.0000501892,0.000243687,0.00008419532,0.003035534,0.0001160355,0.00004571362,0.00006709968],"genre_scores_gemma":[0.9953812,8.375617e-7,0.0001281494,0.001168744,0.00002141592,0.002806982,0.0001174167,0.0000420216,0.000333181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6407167,"threshold_uncertainty_score":0.997373,"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."}}