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Record W4289262124 · doi:10.1111/epp.12865

Current status and first detection of <i>Xylosandrus germanus</i> (Coleoptera: Curculionidae: Scolytinae) in live trees in the Iberian Peninsula

2022· article· en· W4289262124 on OpenAlexaboutno aff
J.M. Riba, Anna Garreta, Anna Aymamí, Belén Lumbierres, Hugo Mas, Diego Gallego

Bibliographic record

VenueEPPO Bulletin · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
Fundersnot available
KeywordsCurculionidaeCeratonia siliquaPeninsulaGeographyBiologyHost (biology)EcologyBotany

Abstract

fetched live from OpenAlex

Abstract The black stem borer Xylosandrus germanus (Blandford, 1894) (Coleoptera: Curculionidae: Scolytinae) is a species native to Eastern Asia that has invaded 24 countries worldwide, including 21 European countries, the USA, Canada and New Zealand. On the Iberian Peninsula it was recorded for the first time in traps placed in the Basque Country (Northern Spain) in 2003, but its host plants were unknown. In the present work, three populations of X. germanus are recorded in the east of Spain in Girona, Tarragona and Valencia provinces (Automomous Community of Catalonia, and Valencia, respectively). Specimens were collected in traps and on host plants, showing a wider distribution range now including the east and north‐east of the Iberian Peninsula. Infested carob trees (Ceratonia siliqua) were found in agricultural and urban green areas in Tarragona. Ceratonia siliqua is therefore reported here as a new host of X. germanus.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

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

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 head0.006
GPT teacher head0.201
Teacher spread0.195 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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