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Record W4402053547 · doi:10.1079/9781800623279.0047

<b><i>Alliaria petiolata</i></b>(M. Bieberstein) Cavara &amp; Grande, Garlic Mustard / Alliaire officinale (Brassicaceae)

2024· book-chapter· it· W4402053547 on OpenAlexaboutno aff
Michael J. McTavish, Elizabeth J. Katovich, Roger L. Becker, Ghislaine Cortat, Sandy M. Smith, Robert S. Bourchier

Bibliographic record

VenueCABI eBooks · 2024
Typebook-chapter
Languageit
FieldAgricultural and Biological Sciences
TopicPlant Ecology and Taxonomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBrassicaceaeBiologyBotany

Abstract

fetched live from OpenAlex

Alliaria petiolata , garlic mustard, is a highly competitive invasive plant in North America that can colonize a diversity of habitats and negatively impacts native plant diversity. Garlic mustard is known to be an ‘oviposition sink’ for native insects, including the West Virginia white butterfly, Pieris virginiensis . Efforts to develop a biological control programme for garlic mustard started in 1998 and identified five weevils and one flea beetle that were found to offer good control. Of those, Ceutorhynchus scrobicollis was identified as the most promising agent for biological control and, after biological and host-specificity studies, it was permitted for release in the United States in 2017 and in Canada in 2018. The chapter reviews the biological and host-specificity testing and the current status of the release programme for Ceutorhynchus scrobicollis in Canada.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.042
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0420.025

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 head0.039
GPT teacher head0.217
Teacher spread0.177 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCABI eBooksSame topicPlant Ecology and Taxonomy StudiesFrench-language works237,207