{"id":"W4286751594","doi":"10.1016/j.scitotenv.2022.157548","title":"Adsorption of SARS-CoV-2 onto granular activated carbon (GAC) in wastewater: Implications for improvements in passive sampling","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Research Nova Scotia","keywords":"Wastewater; Adsorption; Sampling (signal processing); Chemistry; Sewage treatment; Environmental science; Chromatography; Activated carbon; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental engineering; Freundlich equation; Pulp and paper industry; Coronavirus disease 2019 (COVID-19); Organic chemistry; Computer science; Medicine; Engineering; Filter (signal processing)","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":[0.0006252215,0.00008336639,0.0001445687,0.0001187551,0.0001284666,0.000004825987,0.0002488031,0.00001802279,0.000004613551],"category_scores_gemma":[0.00008825945,0.00005648771,0.00005986719,0.0004016641,0.0002395118,0.00005465374,0.0002402288,0.0001399043,5.33396e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004359777,"about_ca_system_score_gemma":0.00005243141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005411144,"about_ca_topic_score_gemma":0.000008355611,"domain_scores_codex":[0.9989297,0.00004471997,0.0002871304,0.0002144402,0.0003224521,0.0002015294],"domain_scores_gemma":[0.9993593,0.00005163594,0.0001969694,0.0003664834,0.0000123682,0.00001327181],"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":[0.00006492506,0.0001324552,0.0004998698,0.00001051564,0.00000486988,8.274793e-8,0.0005144575,0.00358955,0.9943084,0.00003355364,7.953197e-7,0.0008404927],"study_design_scores_gemma":[0.0007422274,0.0001837984,0.03783827,0.00002957437,0.00001770887,0.000007600181,0.0004262674,0.004900939,0.9552784,0.0005078783,0.00001361388,0.00005372969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981929,0.00001696159,0.00002551993,0.0006903994,0.00008687739,0.000877878,0.000009656832,0.000006726651,0.00009305456],"genre_scores_gemma":[0.9995762,0.000001902755,0.0001888321,0.00005667327,0.000008869273,0.0001346297,0.000001380367,0.000008088407,0.00002347088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03903003,"threshold_uncertainty_score":0.2303502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04286612608419323,"score_gpt":0.2891539845527598,"score_spread":0.2462878584685665,"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."}}