MétaCan
Menu
Back to cohort
Record W4415918565 · doi:10.1093/jipm/pmaf040

Expanded geographic range and novel host association of elm zigzag sawfly (Hymenoptera: Argidae) with <i>Zelkova serrata</i> in North America

2025· article· en· W4415918565 on OpenAlexaboutno aff
Kelly L F Oten, Abigail R. Ratcliff, Delaney L Serpan, Haley N Marcum, Kathleen S. Knight

Bibliographic record

VenueJournal of Integrated Pest Management · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
Fundersnot available
KeywordsSawflyBiological dispersalHost (biology)Range (aeronautics)Seed dispersalIntroduced species

Abstract

fetched live from OpenAlex

Abstract The elm zigzag sawfly (EZS), Aproceros leucopoda Takeuchi (Hymenoptera: Argidae), is a rapidly spreading invasive defoliator threatening North American elms (Ulmus spp.). Native to East Asia, EZS has established itself across Europe and Russia and was first detected in North America in 2020. Its parthenogenetic reproduction, high fecundity, and multiple dispersal pathways facilitate rapid range expansion and by 2025, EZS had been documented in 14 U.S. states and 4 Canadian provinces. In North America, human-assisted dispersal via vehicles, wood products, and potentially nursery soil may accelerate its spread beyond natural dispersal distances. This paper documents the first observation of EZS on Japanese zelkova (Zelkova serrata), an ornamental tree within Ulmaceae. In field choice assays, EZS oviposited, fed, and pupated on Z. serrata “Musashino” early in the growing season, although subsequent generations did not utilize the host. This suggests that Z. serrata may serve as an alternate host, likely influenced by earlier leaf-out relative to elm.

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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.003
GPT teacher head0.190
Teacher spread0.187 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Integrated Pest ManagementSame topicForest Insect Ecology and ManagementFrench-language works237,207