First detection of mosquito <i>Uranotaenia sapphirina</i> (Diptera: Culicidae) in New Brunswick, Canada
Bibliographic record
Abstract
Abstract Climate change and other anthropogenic stressors are reshaping Earth’s biodiversity, motivating efforts to monitor changing faunal diversity. Canada is home to 80 documented species of mosquitoes, 38 of which are reported in New Brunswick. Using Centers for Disease Control and Prevention miniature CO2 light traps, three adult mosquito collection surveys were performed to encompass 43 trapping sites across New Brunswick, Canada. Study one took place from 21 July 2022 to 9 September 2022, study two took place from 29 May 2023 to 24 October 2023, and study three took place from 15 May 2024 to 19 September 2024. Among the specimens collected, a total of 18 Uranotaenia sapphirina (Osten Sacken) (Diptera: Culicidae) were identified from five separate trapping sites. This species, previously documented only in Ontario, Quebec, and Manitoba, is considered rare in Canada and is known for its specialisation in feeding on annelids rather than vertebrates. Our detection of Ur. sapphirina in New Brunswick, where it has been absent in earlier surveys, suggests a recent range expansion, possibly driven by climate change. This observation highlights the need for ongoing surveillance to monitor the impacts of environmental changes on mosquito distribution.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".