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Record W2416549221

The species composition and seasonal distribution of mosquitoes in vernal pools in suburban Montreal, Quebec.

2003· article· en· W2416549221 on OpenAlexaffabout
Bruce Doran, D. J. Lewis

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsSt. Lawrence River Institute of Environmental Sciences
Fundersnot available
KeywordsBiologyAbundance (ecology)LarvaEcologySeasonalityInvertebrateCulexAedesAnophelesSpring (device)ZoologyMalaria
DOInot available

Abstract

fetched live from OpenAlex

A study was conducted in the spring and summer of 1998 to determine the invertebrate community in vernal pools on the western portion of the Island of Montreal. This paper examines the mosquitoes (Diptera: Culicidae) found in 10 pools. Fifteen species in 4 genera (Aedes, Anopheles, Culex, and Ochlerotatus) were collected and the seasonal distribution of each species was determined. Ochlerotatus stimulans was the most abundant species. Two peaks occurred in larval abundance, in late April and early July. Larvae were more abundant in the spring; larval density was higher later in the summer. The abundance of mosquitoes in these pools was similar to those found in remote regions of the province.

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)0.000
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 score0.091
Threshold uncertainty score0.183

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.208
Teacher spread0.199 · 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

Citations4
Published2003
Admission routes2
Has abstractyes

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