{"id":"W3109568035","doi":"10.1101/2020.11.22.20236554","title":"Catching a resurgence: Increase in SARS-CoV-2 viral RNA identified in wastewater 48 hours before COVID-19 clinical tests and 96 hours before hospitalizations","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo; Canadian Institute for Advanced Research; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"University of Ottawa","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Wastewater; Medicine; Epidemiology; Environmental health; Emergency medicine; Virology; Internal medicine; Disease; Environmental engineering; Environmental science; 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":[0.0002098377,0.0002835947,0.0002428806,0.0004900809,0.0004685922,0.0008173668,0.000184913,0.0004788383,0.002257143],"category_scores_gemma":[0.0005421005,0.0001491033,0.0001471679,0.000337958,0.0002852513,0.0002514379,0.0002914734,0.0004040668,0.0007033994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009285374,"about_ca_system_score_gemma":0.0005675207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0170126,"about_ca_topic_score_gemma":0.02884423,"domain_scores_codex":[0.9997427,0.00002816221,0.00001166483,0.00007474298,0.00008255466,0.0000601686],"domain_scores_gemma":[0.9996227,0.00004901508,0.0001023347,0.00002094829,0.0001293143,0.00007560933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001447094,0.0003519908,0.7790769,0.00009769538,0.0000457882,0.0009859961,0.0009512021,0.0005101089,0.1960498,0.000168549,0.003449165,0.01686567],"study_design_scores_gemma":[0.000006352065,0.0004106647,0.95665,0.00001179022,0.00001598205,0.000273428,0.001292121,0.0009325154,0.03830381,0.00006378134,0.002024737,0.00001496249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968753,0.00008968338,0.0003495998,0.0001228578,0.00002799464,0.00001722179,0.0009731202,0.00005154511,0.001492641],"genre_scores_gemma":[0.996787,0.00005432476,0.0004598137,0.0001115635,0.00001412572,0.00001270732,0.0008576539,0.000005894487,0.001696931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0170126,"threshold_uncertainty_score":0.03382713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0750973018130637,"score_gpt":0.3828258032758475,"score_spread":0.3077285014627837,"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."}}