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Record W4402055592 · doi:10.1079/9781800623279.0058

<i>Pilosella</i>spp., Hawkweeds / Piloselles (Asteraceae)

2024· book-chapter· es· W4402055592 on OpenAlexaboutno aff
Rosemarie De Clerck-Floate, Ghislaine Cortat, Susan C. Turner, Chandra E. Moffat

Bibliographic record

VenueCABI eBooks · 2024
Typebook-chapter
Languagees
FieldAgricultural and Biological Sciences
TopicPlant and fungal interactions
Canadian institutionsnot available
Fundersnot available
KeywordsAsteraceaeBotanyBiology

Abstract

fetched live from OpenAlex

The hawkweeds are a complex of species in the genus Pilosella ; there are at least 15 species established in North America. Several species are listed as noxious weeds in parts of Canada, as they pose a threat to both natural and agricultural ecosystems. Several hawkweed species have been targeted for biological control in Canada and the United States, including orange hawkweed ( Pilosella aurantiaca ), meadow hawkweed ( Pilosella caespitosa ) and whiplash hawkweed ( Pilosella flagellaris ). Thus far, two insects have been released for biological control of invasive hawkweeds in Canada: Aulacidea subterminalis (starting in 2011) and Cheilosia urbana (starting in 2017). This chapter reviews the status of the current biological control programme for hawkweeds in Canada, ongoing studies of the biology and host range of additional biological control agents, and discusses the next steps and future research needed for biological control of invasive hawkweeds.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.959
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.015

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 head0.033
GPT teacher head0.231
Teacher spread0.198 · 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
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

Citations0
Published2024
Admission routes1
Has abstractyes

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