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Record W4280619285 · doi:10.1111/afe.12510

Chemical and visual ecology of the Symphyta

2022· article· en· W4280619285 on OpenAlexaff
Quentin Guignard, Bernard Slippers, Jeremy D. Allison

Bibliographic record

VenueAgricultural and Forest Entomology · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsNatural Resources CanadaCanadian Forest Service
Fundersnot available
KeywordsSex pheromoneBiologyKairomoneChemical ecologyEcologySexual dimorphismZoologyPheromonePredation

Abstract

fetched live from OpenAlex

Abstract The Symphyta is the most basal sub‐order of the Hymenoptera and includes the woodwasps, horntails and sawflies, many of which are pests. Adults are generally short‐lived and as a result males and females experience strong selection to rapidly find a mate and females to find oviposition sites. Mate‐searching typically relies on visual and olfactory stimuli such as sexually dimorphic morphology (i.e., body parts used in signalling) and pheromones. Here we review the available literature on the chemical and visual ecology of the Symphyta with potential for use in survey and detection programmes. Stimuli reviewed include but are not limited to sex pheromones, larval defensive compounds, plant kairomones and colour preferences. Sex pheromones are known for 19 species of Symphyta and show shared evolutionary patterns in chemistry, production site and ecological role. In general, sex pheromones in the Symphyta are female‐produced, oxidized cuticular hydrocarbons and yellow traps capture more individuals than other colours, although exceptions do exist. More work is needed to expand on these and identify new patterns in the visual and chemical ecology of the Symphyta.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.443
Threshold uncertainty score0.213

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.013
GPT teacher head0.186
Teacher spread0.173 · 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 teacher head, 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

Citations7
Published2022
Admission routes1
Has abstractyes

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