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Record W2016779567 · doi:10.4039/ent133409-3

Stimuli increasing oviposition by female coffee white stem borer (Coleoptera: Cerambycidae)

2001· article· en· W2016779567 on OpenAlexaff
Marc Rhainds, Maarten Warndorff, Phang Kok Chiew, Chin Chiew Lan, Gerhard Gries

Bibliographic record

VenueThe Canadian Entomologist · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsLonghorn beetleBiologyCoffea arabicaInfestationLarvaRubiaceaePEST analysisCoffeaHorticultureCurculionidaeBotany

Abstract

fetched live from OpenAlex

The coffee white stem borer, Xylotrechus quadripes (Chevrolat) is a major pest of coffee, Coffea arabica (L.) (Rubiaceae), in South Africa, India, Thailand, and China (Duffy 1968; Schoeman 1990; Visitpanich 1994; Montavon 1997). Females lay eggs singly or in batches, generally under bark crevices of the stem. Neonatal larvae feed beneath the bark and, during development, bore deeply inside the stem. Stems are colonized by up to 60 larvae. Extensive damage by larvae causes mortality of coffee plants or reduction of fruit production (Duffy 1968; GK veeresh). Because larvae inside the stems of coffee plants are difficult to control, management tactics are aimed at preventing infestation, either by interfering with oviposition of females or by killing neonates before they bore into the stem. Our study tested insect and host plant derived stimuli that may affect the selection of oviposition sites by female X. quadripes.

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: Observational · Consensus signal: none
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)0.0040.000

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 head0.016
GPT teacher head0.225
Teacher spread0.209 · 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 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

Citations10
Published2001
Admission routes1
Has abstractyes

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