{"id":"W4283023558","doi":"10.1021/acs.estlett.2c00280","title":"Early Warning Measurement of SARS-CoV-2 Variants of Concern in Wastewaters by Mass Spectrometry","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology Letters","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Mass spectrometry; 2019-20 coronavirus outbreak; Environmental science; Medicine; Chromatography; Virology; Chemistry; Internal medicine; Outbreak; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007580806,0.0001358495,0.0002653146,0.0008960938,0.0001438002,0.000004977689,0.0003527356,0.00005300279,0.00004136116],"category_scores_gemma":[0.00006991233,0.0001409041,0.00004890224,0.001339775,0.001306659,0.0001056069,0.0002361675,0.0004086541,0.000007106528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008273928,"about_ca_system_score_gemma":0.0000350459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001122362,"about_ca_topic_score_gemma":0.00000159027,"domain_scores_codex":[0.9979497,0.00003960416,0.0003530436,0.0004091898,0.000861786,0.0003866297],"domain_scores_gemma":[0.9994535,0.00001633145,0.0002117293,0.0002882184,0.000006162564,0.00002404462],"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":[0.00002592101,0.0000960067,0.1265425,0.000005906921,0.00001236415,0.0000287018,0.0001848005,0.00001355427,0.8724241,0.000007235416,0.00002690874,0.0006319916],"study_design_scores_gemma":[0.000877692,0.0003892852,0.02381314,0.00002728283,0.00001478893,0.00006814239,0.0008310586,0.0001520507,0.973516,0.00001970042,0.0001773485,0.0001135498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977858,0.00008281303,0.0005529869,0.001000279,0.000120642,0.0002397511,0.000006767655,0.00005366842,0.0001572628],"genre_scores_gemma":[0.9979001,0.000002008389,0.001265611,0.0007837786,0.000006099686,0.00002299298,0.000001021956,0.00001360435,0.000004752367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1027294,"threshold_uncertainty_score":0.5745903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392329199168117,"score_gpt":0.2468901968728102,"score_spread":0.222966904881129,"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."}}