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Record W2949501367 · doi:10.1080/09583157.2019.1625028

Use of life tables to predict the impact of introducing exotic parasitoids, against the cabbage seedpod weevil in North America

2019· article· en· W2949501367 on OpenAlexafffundabout
David R. Gillespie, A.B. Broadbent, Peter G. Mason, Tim Haye, Peggy Clarke, Mark S. Goettel, Benjamin Leung

Bibliographic record

VenueBiocontrol Science and Technology · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsSimon Fraser UniversityAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsWeevilBiologyCurculionidaeCanolaBiological pest controlBrassica rapaRange (aeronautics)PEST analysisIntroduced speciesParasitoidInvasive speciesAgronomyBrassicaAgroforestryBotany

Abstract

fetched live from OpenAlex

Cabbage seedpod weevil, Ceutorhynchus obstrictus (Coleoptera: Curculionidae), is an invasive alien species that impacts seed production of canola, Brassica napus and B. rapa (Brassicaceae), one of Canada’s major agricultural crops. To determine the need for and potential impact of introduction of one or more natural enemies for biological control it is essential to understand the mortality factors associated with C. obstrictus both in the native range and in the introduced range. Life tables were constructed for Ontario and British Columbia populations to determine the mortality factors affecting C. obstrictus. These were compared with life tables generated in Switzerland, the area of origin of the weevil. Results indicated that introduction of an exotic specialist parasitoid into canola growing regions of Canada would substantially reduce C. obstrictus populations. This study is the first to compare life tables of an invasive pest in the areas of origin and introduction.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.213
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

Citations3
Published2019
Admission routes3
Has abstractyes

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