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Record W2156785156 · doi:10.4039/n10-033

Baited pheromone traps track changes in populations of western blackheaded budworm (Lepidoptera: Tortricidae)

2010· article· en· W2156785156 on OpenAlexaffabout
Vincent G. Nealis, Peter J. Silk, R. Turnquist, Jiangying Wu

Bibliographic record

VenueThe Canadian Entomologist · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsNatural Resources CanadaCanadian Forest Service
Fundersnot available
KeywordsTortricidaeLepidoptera genitaliaSpruce budwormBiologyPheromone trapSex pheromonePEST analysisPopulationEcologyZoologyBotanyDemography

Abstract

fetched live from OpenAlex

Abstract Pheromone lures for eastern and western blackheaded budworms, Acleris variana (Fernald) and A. gloverana (Walsingham), were synthesized and deployed in traps at locations with decreasing and increasing populations of western blackheaded budworms in British Columbia, Canada. Traps baited with these lures caught comparable numbers of moths at all sites tested in each year. The lures were sensitive to changes in density of budworm populations below observable damage levels, and numbers of moths in traps were strongly correlated with independent estimates of egg densities in the same year. The results confirm the qualitative similarity of the sex pheromones in eastern and western species of blackheaded budworm and demonstrate their utility as a tool for monitoring population trends, including increases in populations to damaging levels.

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 score0.084
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.023
GPT teacher head0.249
Teacher spread0.226 · 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

Citations9
Published2010
Admission routes2
Has abstractyes

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