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Record W4402055219 · doi:10.1079/9781800623279.0061

<i>Vincetoxicum nigrum</i>(L.) Moench, Pale Swallow-wort / Dompte-venin noir and<i>Vincetoxicum rossicum</i>(Kleopow) Barbaricz, Black swallow-wort / Dompte-venin de Russie (Apocynaceae)

2024· book-chapter· es· W4402055219 on OpenAlexaboutno aff
Ian M. Jones, Kath Ryan, Naomi Cappuccino, Sandy M. Smith, Robert S. Bourchier

Bibliographic record

VenueCABI eBooks · 2024
Typebook-chapter
Languagees
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
Fundersnot available
KeywordsTraditional medicineMedicine

Abstract

fetched live from OpenAlex

Vincetoxicum rossicum , pale swallow-wort, and Vincetoxicum nigrum , black swallow-wort, are both known as dog-strangling vine in Canada and are established in northeastern North America. These invasive swallow-worts compete against native species for resources and modify the environment, resulting in negative consequences for native plant and animal species. Integrating the use of herbicides with mechanical control tactics has some efficacy, but requires substantial resources. Classical biological control has been explored as an additional tool for managing these highly damaging weeds. Hypena opulenta is a specialist herbivore of Vincetoxicum spp. and was approved for release in Canada in 2013. Additional insect herbivores and plant pathogens are under investigation to understand their potential as biological control agents, and are reviewed. The chapter also reviews the current status of the biological control programme for invasive swallow-worts using H. opulenta and discusses priorities for future research.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0020.000
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.002

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 head0.024
GPT teacher head0.214
Teacher spread0.190 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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