{"id":"W4392660365","doi":"10.1016/j.mex.2024.102645","title":"Solid-liquid distribution of SARS-CoV-2 in primary effluent of a wastewater treatment plant","year":2024,"lang":"en","type":"article","venue":"MethodsX","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Public Health Agency of Canada; Global Institute for Water Security; Saskatoon City Hospital; University of Saskatchewan","funders":"Global Water Futures; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Public Health Agency of Canada","keywords":"Centrifugation; Chromatography; Ultrafiltration (renal); RNA; Filtration (mathematics); Wastewater; Fractionation; Bovine coronavirus; Effluent; Chemistry; Membrane; Viral load; Coronavirus; Virology; Biology; Virus; Coronavirus disease 2019 (COVID-19); Biochemistry; Medicine; Environmental engineering; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0005501586,0.0001380053,0.0004156033,0.0001659277,0.00001759575,0.000008158836,0.00003917489,0.00007965381,0.000006235932],"category_scores_gemma":[0.0001492415,0.0001014637,0.0001324124,0.0002858282,0.00007130563,0.0000384701,0.00002846717,0.0001126439,0.000008774918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002588134,"about_ca_system_score_gemma":0.0001096061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002895816,"about_ca_topic_score_gemma":0.00001178766,"domain_scores_codex":[0.9988405,0.0001498277,0.0004354929,0.0002242011,0.0001714365,0.0001786198],"domain_scores_gemma":[0.9994396,0.0002284716,0.00007024619,0.0002049563,0.0000358266,0.00002092439],"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":[0.0003980047,0.0001776839,0.0005014517,0.0003687314,0.00007391051,0.00008072374,0.0006544474,0.000003890967,0.9883397,0.00005900105,0.00004084026,0.009301582],"study_design_scores_gemma":[0.0008941472,0.0008788763,0.001641698,0.0004764981,0.0001051058,0.0001064218,0.00003911351,0.001299284,0.9889587,0.00007639179,0.005444015,0.0000797972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953665,0.0005116396,0.00285754,0.0001080634,0.000236312,0.0002959353,0.00005407253,0.00006600162,0.0005039824],"genre_scores_gemma":[0.9910741,0.00001423726,0.008593514,0.0001236559,0.00005811429,0.0000308143,0.00004825348,0.00001837389,0.00003889605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009221786,"threshold_uncertainty_score":0.413757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0802229756644391,"score_gpt":0.3962812422162663,"score_spread":0.3160582665518272,"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."}}