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Record W2980854366 · doi:10.30843/nzpp.2010.63.6580

Current status of classical biological control of <i>Cirsium arvense</i> in New Zealand

2010· article· en· W2980854366 on OpenAlexaboutno aff
Michael G. Cripps, G.W. Bourd t, Simon V. Fowler, G.R. Edwards

Bibliographic record

VenueProceedings of the New Zealand Weed Control Conference · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBiological Control of Invasive Species
Canadian institutionsnot available
Fundersnot available
KeywordsCirsium arvenseThistleBiologyWeedBiological pest controlPucciniaAgronomyPerennial plantRust (programming language)Weed controlInvasive speciesIntroduced speciesPastureBotanyMildew

Abstract

fetched live from OpenAlex

Cirsium arvense (L) Scop (Californian Canada or creeping thistle) is an exotic perennial herb that successfully established in New Zealand (NZ) approximately 130 years ago and is now considered one of the worst invasive weeds in NZ arable and pastoral systems Two insects Cassida rubiginosa and Ceratapion onopordi were recently released for classical biological control Studies carried out from 2006 to 2009 in both the native (Europe) and introduced (NZ) ranges of the plant aimed to quantify C arvense growth characteristics and assess incidence of the specialised rust pathogen Puccinia punctiformis in regions with and without the supposed pathogen vector C onopordi In permanent field plots natural enemies were excluded with insecticides and fungicides and compared with controls The impact of C rubiginosa was also assessed under different pasture competition scenarios The survey data indicate that C arvense expresses similar growth characteristics in both ranges and that incidence of the rust pathogen is similar in both ranges regardless of the presence of C onopordi The data suggest that the overall suite of natural enemies is capable of exerting some regulating influence on the plant in its native range but that the released biocontrol agents will not likely have a significant impact on this weed in NZ

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.222
Teacher spread0.202 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the New Zealand Weed Control ConferenceSame topicBiological Control of Invasive SpeciesFrench-language works237,207