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Record W7083286666 · doi:10.5683/sp3/1qx2tz

RT-qPCR mosquito arbovirus screening results, 2017-2021, South Nation River watershed

2025· dataset· en· W7083286666 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBorealis · 2025
Typedataset
Languageen
FieldSocial Sciences
TopicVarious Academic Research Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsArbovirusSerologyWest Nile virusWatershedVirusVector (molecular biology)

Abstract

fetched live from OpenAlex

<p> Pool-by-pool RT-qPCR mosquito arbovirus screening results (.xlsx), 2017-2021, South Nation River watershed. Viruses tested include: California serogroup viruses (CSGv), West Nile virus (WNv), eastern equine encephelitis virus (EEEv), and Cache Valley virus (CVv).<b> Includes a sheet with column descriptions.</b></p> <br> <h3> Methods </h3> <br> <p> Between 2017 and 2021 (excluding 2020 due to COVID-19), mosquitoes were collected across semi-urban and rural habitats of the South Nation River watershed, eastern Ontario. Pools of 1–50 females per species (≤3 pools, max. 150 individuals) were tested, with some Ceratopogonidae also included. Samples from 2017–2019 were homogenized at the National Microbiology Laboratory (NML) as described in Avramov et al. (1) and RNA-extracted with the QIAamp Viral Mini Kit (QIAGEN™) with minor modifications (2). In 2021, homogenization was performed at Carleton University under the same conditions (1), with RNA extraction by high-throughput phenol–chloroform (1). RT-qPCR screening for CSGv used Wang et al.’s primers/probes (3,4) at NML (2017–2018) and Carleton (2019, 2021). WNv and EEEv were screened at NML (2017–2019) and Carleton (2021) with validated primers/probes (5,6). CVv was screened only at NML in 2017–2018 using Wang et al. (3). Virus-positive pools processed at Carleton underwent RNA re-extraction with the QIAamp Viral Mini Kit, followed by replicate RT-qPCR; Cq < 38 in both replicates defined a positive. All procedures followed institutional biosafety standards.</p> <h3>References</h3> <ol> <li>Avramov M, Gallo V, Gross A, Lapen DR, Ludwig A, Cullingham CI. A cost-effective RNA extraction and RT-qPCR approach to detect California serogroup viruses from pooled mosquito samples. Sci Rep. 2024 Jan 29;14(1):2339. </li> <li>Villeneuve CA, Buhler KJ, Iranpour M, Avard E, Dibernardo A, Fenton H, et al. New records of California serogroup viruses in Aedes mosquitoes and first detection in simulioidae flies from Northern Canada and Alaska. Polar Biol. 2021 Sep 1;44(9):1911–5.</li> <li>Wang H, Nattanmai S, Kramer LD, Bernard KA, Tavakoli NP. A duplex real-time reverse transcriptase polymerase chain reaction assay for the detection of California serogroup and Cache Valley viruses. Diagn Microbiol Infect Dis. 2009 Oct 1;65(2):150–7.</li> <li> Buhler KJ, Dibernardo A, Pilfold NW, Harms NJ, Fenton H, Carriere S, et al. Widespread Exposure to Mosquitoborne California Serogroup Viruses in Caribou, Arctic Fox, Red Fox, and Polar Bears, Canada. Emerg Infect Dis. 2023 Jan;29(1):54–63.</li> <li> Lanciotti RS, Kerst AJ, Nasci RS, Godsey MS, Mitchell CJ, Savage HM, et al. Rapid Detection of West Nile Virus from Human Clinical Specimens, Field-Collected Mosquitoes, and Avian Samples by a TaqMan Reverse Transcriptase-PCR Assay. J Clin Microbiol. 2000 Nov;38(11):4066–71.</li> <li> Lambert AJ, Martin DA, Lanciotti RS. Detection of North American Eastern and Western Equine Encephalitis Viruses by Nucleic Acid Amplification Assays. J Clin Microbiol. 2003 Jan;41(1):379–85.</li> </ol>

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.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.412
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
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 head0.063
GPT teacher head0.359
Teacher spread0.296 · 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