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Record W7038723923

IsPuccinia xanthiia suitable biological control agent ofAmbrosia artemisiifolia?

2007· article· en· W7038723923 on OpenAlexaboutno aff

Bibliographic record

VenueRepository of the Academy's Library (Library of the Hungarian Academy of Sciences) · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
Fundersnot available
KeywordsAmbrosia artemisiifoliaNoxious weedRagweedBiological pest controlWeedXanthiumHerbariumAlien
DOInot available

Abstract

fetched live from OpenAlex

Common ragweed, Ambrosia artemisiifolia, is a highly allergenic North American plant that has become invasive in some parts of Europe, Asia and Australia following its introduction to many places in the world. Some earlier works suggested that a microcyclic autoecious rust fungus, Puccinia xanthii, known to infect A. artemisiifolia in the USA only, can be considered as a potential classical biocontrol agent (BCA) of this noxious weed in Europe and elsewhere. However, an extensive field survey did not reveal the presence of either P xanthii or any other rusts on common ragweed in 14 US states and two Canadian provinces in 2002 and 2003. Moreover, P xanthii infecting A. artemisiifolia has never been recorded in Canada, although it is known to occur on A. trifida and Xanthium spp. there. Nevertheless, herbarium specimens collected between 1855 and 1963 in five states of the USA confirmed the presence of P xanthii on A. artemisiifolia. It is concluded that currently P xanthii cannot be regarded as a promising BCA of A. artemisiifolia, although it did occur on common ragweed at least a few decades ago in the USA and some forms of this rust species have already been evaluated as effective BCAs of Xanthium in Australia.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.025
GPT teacher head0.244
Teacher spread0.219 · 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 designBench or experimental
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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueRepository of the Academy's Library (Library of the Hungarian Academy of Sciences)→Same topicMarine Biology and Ecology Research→French-language works237,207→