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Record W2161908875 · doi:10.4039/n06-035

Attraction of male <i>Mayetiola thujae</i> (Diptera: Cecidomyiidae) to the sex-pheromone blend of (2<i>S</i>,12<i>S</i>)-, (2<i>S</i>,13<i>S</i>)-, and (2<i>S</i>,14<i>S</i>)-diacetoxyheptadecane is reduced in the presence of the <i>SR</i>- or <i>RR</i>-stereoisomers

2007· article· en· W2161908875 on OpenAlexaff
Regine Gries, Robb Bennett, Grigori Khaskin, Gerhard Gries

Bibliographic record

VenueThe Canadian Entomologist · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pheromone Research and Control
Canadian institutionsGovernment of British ColumbiaSimon Fraser University
Fundersnot available
KeywordsAttractionPheromoneSex pheromoneCecidomyiidaeBotanyBiologyStereochemistryChemistryLarvaLinguistics

Abstract

fetched live from OpenAlex

Abstract In a field trapping experiment in an abandoned seed orchard of western red-cedar, Thuja plicata Donn × D. Don, in British Columbia, we show that attraction of male red-cedar cone midges, Mayetiola thujae (Hedlin), to the pheromone blend (2S,12S)-, (2S,13S)-, and (2S,14S)-diacetoxyheptadecane is reduced in the presence of a blend of all other stereoisomers, or of the three SR- or RR-stereoisomers. The three RS-stereoisomers, in contrast, had no significant effect. Thus, synthetic pheromone for monitoring M. thujae populations must not contain the SR- or RR-stereoisomers of 2,12-, 2,13-, and 2,14-diacetoxyheptadecane. This result will allow development of a less expensive design for synthesizing the pheromone.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

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)0.0030.000

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 head0.024
GPT teacher head0.246
Teacher spread0.222 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

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