MétaCan
Menu
Back to cohort
Record W2168692125 · doi:10.4039/tce.2012.102

Preemergence mating in the mass-attacking bark beetle,<i>Dendroctonus ponderosae</i>(Coleoptera: Curculionidae)

2013· article· en· W2168692125 on OpenAlexaffabout
Katherine P. Bleiker, R. J. Heron, E.C. Braithwaite, Gregory D. Smith

Bibliographic record

VenueThe Canadian Entomologist · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsNatural Resources CanadaCanadian Forest Service
Fundersnot available
KeywordsCurculionidaeDendroctonusMountain pine beetleBiologyBroodMatingBark beetleEcologyWeevilRange (aeronautics)Bark (sound)ZoologyBotany

Abstract

fetched live from OpenAlex

Abstract The mountain pine beetle Dendroctonus ponderosae Hopkins (Coleoptera: Curculionidae) kills its hosts by attacking en masse and overwhelming tree defences. Young adult beetles completing development under the bark may have the opportunity to mate with siblings or with brood from adjacent galleries prior to emerging from the natal host tree. We investigated the incidence of preemergence mating among female beetles at two locations in the recently expanded range of the insect in northern Alberta, Canada. Female beetles emerging from under the bark late in the emergence period were more likely to be mated upon emergence than beetles that emerged earlier. Delaying emergence of brood adults once they were at the teneral adult stage had little effect on the incidence of preemergence mating. The frequency of preemergence mating varied from 3–12% among female beetles. This is higher than the 1–2% reported in other studies within the historic range of the mountain pine beetle. Reasons for these differences are discussed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.003

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 head0.014
GPT teacher head0.225
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

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

Citations24
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueThe Canadian EntomologistSame topicForest Insect Ecology and ManagementFrench-language works237,207