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Record W4226111147 · doi:10.4039/tce.2021.60

Canada’s response to invasion by Asian longhorned beetle (Coleoptera: Cerambycidae) in Ontario

2022· article· en· W4226111147 on OpenAlexafffundabout
Jean Turgeon, Ben Gasman, Michael T. Smith, John Pedlar, Mary Orr, Ronald E. Fournier, J. Doyle, J. Ric, Taylor Scarr

Bibliographic record

VenueThe Canadian Entomologist · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsMinistry of Natural Resources and ForestryParks CanadaNatural Resources CanadaCanadian Food Inspection AgencyCanadian Forest Service
FundersU.S. Forest ServiceCanadian Forest ServiceCanadian Food Inspection AgencyNatural Resources CanadaU.S. Department of Agriculture
KeywordsLonghorn beetleGeographyForestryPopulationInfestationEcologyAgroforestryBiologyBotanyDemography

Abstract

fetched live from OpenAlex

Abstract A reproductive population of the Asian longhorned beetle, Anoplophora glabripennis (Motschulsky) (Coleoptera: Cerambycidae), an adventive insect from Asia, was discovered in 2003 in an urban landscape in Ontario, Canada. This polyphagous beetle, which attacks maples, Acer spp. (Sapindaceae), had the potential to seriously and permanently alter the composition and structure of forests in eastern North America. The Canadian Food Inspection Agency (CFIA) developed and implemented an eradication programme, with partners from various agencies in both Canada and the United States of America. Surveys were used to delineate the infestation and establish a regulated area around it. Treatment consisted of removing and destroying both trees with signs of A. glabripennis injury and trees assumed at high risk of being injured within the regulated area. After nine years of monitoring the regulated area, the CFIA declared A. glabripennis eradicated on 5 April 2013. Herein, we detail the response undertaken, summarise lessons learned, and provide preliminary observations and results pertaining to the arrival, establishment, and spread of A. glabripennis in Ontario.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.991

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)0.0110.000

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 head0.011
GPT teacher head0.195
Teacher spread0.184 · 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.

Study designNot applicable
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

Citations20
Published2022
Admission routes3
Has abstractyes

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