{"id":"W4327675645","doi":"10.1021/acssensors.2c02655","title":"Integrating Water Purification with Electrochemical Aptamer Sensing for Detecting SARS-CoV-2 in Wastewater","year":2023,"lang":"en","type":"article","venue":"ACS Sensors","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Aptamer; Wastewater; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Electrochemistry; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Portable water purification; Chemistry; Chromatography; Nanotechnology; Environmental science; Materials science; Virology; Electrode; Environmental engineering; Biology; Molecular biology; Infectious disease (medical specialty)","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":[0.0003882239,0.0002040779,0.0002757716,0.0003214886,0.0001238025,0.00004200563,0.00004944657,0.0001272819,0.000001755359],"category_scores_gemma":[0.0005294646,0.0001431682,0.0000662844,0.0005037845,0.00004465471,0.00009358186,0.00002442311,0.0003537023,0.00006704209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001088816,"about_ca_system_score_gemma":0.00002681205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006848569,"about_ca_topic_score_gemma":0.00006117127,"domain_scores_codex":[0.9984596,0.00004296769,0.0003492653,0.0004015049,0.0001941157,0.0005524923],"domain_scores_gemma":[0.9993308,0.0002043966,0.00007361856,0.0002234938,0.0001373959,0.00003032644],"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":[0.0001670666,0.00001497472,0.0007826128,0.00005306813,0.00002477178,0.00003385598,0.001212306,0.000006601274,0.994563,0.000005304533,0.00002635213,0.00311003],"study_design_scores_gemma":[0.001008616,0.0001529673,0.000122039,0.0001710467,0.00003807059,0.000278446,0.001061352,0.01441778,0.9819784,0.00007112705,0.0005065645,0.0001935471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975655,0.000006471408,0.0006496049,0.0004904836,0.00008681808,0.0004662654,5.806531e-7,0.0003731973,0.0003610859],"genre_scores_gemma":[0.9923338,9.403107e-7,0.006760823,0.0005139075,0.0001735644,0.00002490227,0.00001986667,0.00006854266,0.0001037024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01441118,"threshold_uncertainty_score":0.5838231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0397886522722504,"score_gpt":0.2968823361566048,"score_spread":0.2570936838843544,"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."}}