{"id":"W4225839863","doi":"10.1139/facets-2021-0139","title":"SARS-CoV-2 detection from the built environment and wastewater and its use for hospital surveillance","year":2022,"lang":"en","type":"article","venue":"FACETS","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Waterloo; Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Jarislowsky Foundation","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Wastewater; Sampling (signal processing); Emergency medicine; Environmental health; Environmental science; Disease; Environmental engineering; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001529018,0.0001016563,0.0001255671,0.00002530751,0.0002530468,0.00003445704,0.00003659922,0.00003225559,0.00001337228],"category_scores_gemma":[0.0001362114,0.00007766144,0.00003094759,0.00004258862,0.00002781105,0.00006318898,0.00009433449,0.0001375295,0.000006976442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000432679,"about_ca_system_score_gemma":0.000006825807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001932905,"about_ca_topic_score_gemma":0.00006067517,"domain_scores_codex":[0.9993063,0.00004649915,0.0001184148,0.0002441695,0.000138272,0.0001463034],"domain_scores_gemma":[0.9996065,0.0001640621,0.00005096973,0.0001438788,0.00001407774,0.0000204882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008562428,0.00002934126,0.01600468,0.000008859659,0.00003086937,0.000004674251,0.0003878243,0.000004553766,0.9798464,0.00000205824,0.0002152184,0.003379931],"study_design_scores_gemma":[0.001502064,0.0004426987,0.07143964,0.000009219191,0.00002987964,0.00006300345,0.0001880484,0.002994211,0.8596105,0.00004647255,0.06353925,0.0001350236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980412,0.0004022481,0.0001213569,0.0005512945,0.0002422419,0.0005098725,0.00006734992,0.00004849058,0.00001602061],"genre_scores_gemma":[0.9987993,0.00001522894,0.0001389841,0.0007805594,0.0000852826,0.00009115076,0.000009944904,0.00001868705,0.00006090493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1202359,"threshold_uncertainty_score":0.3166942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04316068640858255,"score_gpt":0.2654266875627096,"score_spread":0.222266001154127,"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."}}