MétaCan
Menu
Back to cohort
Record W4281647930 · doi:10.1128/mra.00362-22

Metagenomics of Wastewater Influent from Wastewater Treatment Facilities across Ontario in the Era of Emerging SARS-CoV-2 Variants of Concern

2022· article· en· W4281647930 on OpenAlexafffundabout
Opeyemi U. Lawal, Linkang Zhang, Valeria R. Parreira, R. Stephen Brown, Charles Chettleburgh, Nora Dannah, Robert Delatolla, Kimberly Gilbride, Tyson E. Graber, Golam Islam, James Knockleby, Sean Ma, Hanlan McDougall, R. Michael L. McKay, Aleksandra M. Mloszewska, Claire Oswald, Mark R. Servos, Megan Swinwood-Sky, Gustavo Ybazeta, Marc Habash, Lawrence Goodridge

Bibliographic record

VenueMicrobiology Resource Announcements · 2022
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 detection and testing
Canadian institutionsUniversity of WaterlooUniversity of WindsorUniversity of OttawaOntario Tech UniversityChildren's Hospital of Eastern OntarioHealth Sciences NorthToronto Metropolitan UniversityQueen's UniversityUniversity of Guelph
FundersOntario Genomics
KeywordsMetagenomicsWastewaterSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)DeltaSewage treatment2019-20 coronavirus outbreakBiologyVirologyEnvironmental scienceMedicineGeneGeneticsEnvironmental engineeringInternal medicineEngineering

Abstract

fetched live from OpenAlex

We report metagenomic sequencing analyses of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in composite wastewater influent from 10 regions in Ontario, Canada, during the transition between Delta and Omicron variants of concern. The Delta and Omicron BA.1/BA.1.1 and BA.2-defining mutations occurring in various frequencies were reported in the consensus and subconsensus sequences of the composite samples.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.296
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueMicrobiology Resource AnnouncementsSame topicSARS-CoV-2 detection and testingFrench-language works237,207