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Record W7096647209

ABSTRACT SPATIOTEMPORAL DYNAMICS AND HOST SELECTION OF EMERALD ASH BORER, AGRILUS PLANIPENNIS (COLEOPTERA: BUPRESTIDAE), AT

2016· article· en· W7096647209 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
Fundersnot available
KeywordsEmerald ash borerAgrilusFraxinusInfestationCrown (dentistry)Larva
DOInot available

Abstract

fetched live from OpenAlex

The emerald ash borer (Agrilus planipennis; EAB) is a wood-boring beetle that was introduced to North America from Asia c. 1990. Larval feeding on ash trees (Fraxinus spp.) has caused extensive mortality of North American ashes. This study was initiated in the early stages of an EAB infestation at Point Pelee National Park in Essex County, Ontario, Canada to monitor an infestation in a natural environment, and included assessment of tree health and quantification of beetle emergence. A plot containing green and blue ash trees was established in 2008. Green ashes were heavily infested; blue ashes showed no signs of colonization. By 2011, all green ashes were dead while EAB had emerged from few blue ashes. Emergence had declined dramatically. Blue ash trees are not expected to suffer severe mortality at this site due to EAB infestation. Crown health and EAB emergence was assessed in 620 ash trees in six plots from 2008 to 2011. Exit holes left by beetles in 2006 and 2007 were also counted. Emergence was low in 2006, peaked in 2009, then decreased again despite the availability of suitable

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 score0.036
Threshold uncertainty score0.072

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 head0.006
GPT teacher head0.198
Teacher spread0.192 · 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
Published2016
Admission routes1
Has abstractyes

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