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Record W4412373527 · doi:10.1093/jme/tjaf096

New record of <i>Psorophora howardii</i> (Diptera: Culicidae) in Southern Ontario, Canada

2025· article· en· W4412373527 on OpenAlexafffundabout
Nicholas Benton, Larissa Krokovsky, Alessio Gasparotto, Fiona F. Hunter

Bibliographic record

VenueJournal of Medical Entomology · 2025
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsCanadian Sleep SocietyBrock University
FundersNatural Sciences and Engineering Research Council of CanadaHospital for Sick Children
KeywordsBiologySubtropicsRange (aeronautics)DNA barcodingEcologyZoology

Abstract

fetched live from OpenAlex

Psorophora howardii Coquillett is a large floodwater mosquito native to much of the tropical and subtropical regions of the Americas, including the southern United States, several Caribbean Islands, and portions of Central and South America. Although it is recognized as a nuisance species, substantial gaps exist in the known range of Ps. howardii. In September 2024, multiple adults (2 males and 4 females) of Ps. howardii were collected at 2 different locations in Windsor-Essex County, Ontario, Canada. Specimens were collected during routine West Nile virus mosquito surveillance using CDC miniature light traps, using UV light and CO2, and a BG-Sentinel trap. Morphological identifications were confirmed using DNA barcoding (cytochrome oxidase I gene). This constitutes the first official record of Ps. howardii in Canada and is the northernmost record for the species (~42°N latitude). The detection of Ps. howardii at 2 locations, separated by 26 km, suggests established populations are present in southern Ontario, Canada. This discovery highlights the need for continued mosquito surveillance to monitor the northward expansion of mosquito species.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.259
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2025
Admission routes3
Has abstractyes

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