{"id":"W4205585274","doi":"10.2139/ssrn.3962151","title":"Number of COVID-19 Cases Required in a Population to Detect SARS-CoV-2 RNA in Wastewater in the Province of Alberta, Canada: Sensitivity Assessment","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Health Services; Suncor Energy (Canada); University of Alberta","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Wastewater; 2019-20 coronavirus outbreak; Virology; Population; Sensitivity (control systems); Environmental science; Biology; Medicine; Environmental health; Environmental engineering; Outbreak; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005294019,0.0005444919,0.001016477,0.001225922,0.0007637969,0.001188918,0.001405978,0.001030643,0.001190112],"category_scores_gemma":[0.0131405,0.0005235266,0.001564668,0.001306464,0.0008198723,0.000475359,0.0006238656,0.0006422434,0.0001782358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01374824,"about_ca_system_score_gemma":0.01018707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8391601,"about_ca_topic_score_gemma":0.8501871,"domain_scores_codex":[0.9947346,0.001187322,0.0003686729,0.0005972133,0.002584525,0.0005276391],"domain_scores_gemma":[0.9940875,0.003295115,0.000640571,0.0002819506,0.001343384,0.0003515627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001098783,0.0001453194,0.9740161,0.000181945,0.0005272887,0.0003682953,0.0002788585,0.009984787,0.001140473,0.0001650571,0.001175095,0.01091784],"study_design_scores_gemma":[0.00009302524,0.001064533,0.9792198,0.00006474592,0.0006222854,0.0006429799,0.0009699018,0.01400375,0.001609026,0.0003054794,0.001353058,0.00005135529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815599,0.001478981,0.003087958,0.0004537364,0.00005159046,0.0004031516,0.006092961,0.0001764787,0.00669531],"genre_scores_gemma":[0.9960089,0.000365659,0.001575169,0.0001806231,0.0000105639,0.0000537313,0.00103184,0.00000889275,0.0007646676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1608399,"threshold_uncertainty_score":0.3235741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02794356975234836,"score_gpt":0.327840817442886,"score_spread":0.2998972476905377,"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."}}