{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005873988,0.0004826022,0.0003448356,0.000929865,0.0004415697,0.0007411132,0.0003680415,0.0005780802,0.0006706835],"category_scores_gemma":[0.0009997764,0.0001680987,0.0002164326,0.0005667844,0.0004931524,0.0002621873,0.0004726356,0.000301382,0.0002945345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384335,"about_ca_system_score_gemma":0.001405821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03520017,"about_ca_topic_score_gemma":0.09320917,"domain_scores_codex":[0.9989765,0.000135317,0.00003971623,0.0001776501,0.0005966451,0.00007412661],"domain_scores_gemma":[0.9995339,0.00006109479,0.0001181414,0.00001881837,0.0002397569,0.00002824705],"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":[0.0002270271,0.00008427204,0.1240358,0.0002082781,0.00004562153,0.0002249549,0.0004583817,0.0006807615,0.845098,0.0002366838,0.0009526548,0.02774744],"study_design_scores_gemma":[0.00004368031,0.0006716767,0.3975702,0.00009775937,0.0001163292,0.001026604,0.001548279,0.01511289,0.568457,0.0006808488,0.01460262,0.00007208385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655317,0.001443733,0.02467738,0.0006605208,0.00005218322,0.0001829788,0.001745818,0.0003790316,0.005326619],"genre_scores_gemma":[0.9697691,0.0008527779,0.02491041,0.0004489399,0.00002085087,0.00006071866,0.0005538458,0.00003127807,0.003352109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03520017,"threshold_uncertainty_score":0.06999058,"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."}}