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Record W4402054153 · doi:10.1079/9781800623279.0063

<i>Phytophthora ramorum</i>Werres, de Cock &amp; Man in’t Veld, Sudden Oak Death / Encre des chênes rouges (Peronosporaceae)

2024· book-chapter· fr· W4402054153 on OpenAlexaboutno aff
Simon F. Shamoun, Marianne Elliott

Bibliographic record

VenueCABI eBooks · 2024
Typebook-chapter
Languagefr
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsnot available
Fundersnot available
KeywordsPhytophthora ramorumBiologyHorticulturePhytophthora

Abstract

fetched live from OpenAlex

Phytophthora ramorum is the causal agent of sudden oak death, a disease that has killed millions of oak and tanoak trees in California and Oregon in the United States and of sudden larch death in the United Kingdom. Phytophthora ramorum was first detected in Canada in 2003 in nurseries in the Greater Vancouver area of British Columbia. Phytophthora ramorum is regulated by the Canadian Food Inspection Agency; nurseries where the pathogen is detected are placed in quarantine and all host plants are destroyed, at significant cost. This chapter reviews the biology and impact of P. ramorum and its management using monitoring and prevention, chemical control, and biological control. Fungal antagonists of P. ramorum from the genus Trichoderma and bacterial antagonists from the genus Bacillus show promise as biological control agents, but will likely need to be used as part of an integrated pest management strategy that includes prevention via sanitation and disinfection.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.057
Threshold uncertainty score0.191

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0570.037

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 head0.043
GPT teacher head0.242
Teacher spread0.200 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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