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<i>Anoplophora glabripennis</i>infestation (col.: cerambycidae) in Italy

2009· article· en· W2035143734 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEPPO Bulletin · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
Fundersnot available
KeywordsLonghorn beetlePEST analysisDeciduousBiologyInfestationPopulationEcologyBotany

Abstract

fetched live from OpenAlex

In June 2007, the Asian longhorned beetle Anoplophora glabripennis (Motschulsky) was found at Corbetta, in Lombardy, 23 km west of Milan, Italy. The invasive exotic pest was observed in four host trees, one sycamore maple Acer pseudoplatanus L. and three silver birches Betula pendula Rothmahler. During summer 2007, 20 living and 107 dead A. glabripennis beetles were collected on or around the infested trees. The dissection of the infested material showed that 287 beetles emerged from the trees during previous years and 158 living larvae of varied ages were still developing in April, 2008. Fortunately, it appears that predation by birds on early stage larvae developing under the bark, played a major role in limiting the developing pest population. A. glabripennis is native to China and Korea where it is considered as a serious pest of many deciduous trees including maples, poplars, and willows. During the last decade, it was accidentally introduced into the USA, Canada, Austria, Germany and France in wood packaging material of goods imported from China. The current discovery in Italy is the first record of the Asian pest in this country.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.008

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 head0.004
GPT teacher head0.202
Teacher spread0.197 · 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