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Record W4399580852 · doi:10.1079/20240228673

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2023· report· en· W4399580852 on OpenAlexaboutno aff
Neil Audsley, Gonzalo Avila, Claudio Ioratti, Valérie Caron, Chiara Ferracini, Tibor Bukovinszki, Marc Kenis, Panagiotis Milonas, Annette Herz, Stanislav Trdan, Ana-Christina Fatu, Giuseppino Sabbatini-Peverieri, Vincent Lesieur, Nicolas Borowiec, Jana Collatz, Rob Tanner, Conor Francis McGee

Bibliographic record

Venuenot available
Typereport
Languageen
FieldHealth Professions
TopicElectronic Health Records Systems
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Saperda candida (Coleoptera: Cerambycidae) is native to the eastern USA and southeastern Canada. It was detected in Germany in 2008, where eradication efforts were undertaken. This beetle primarily infests woody hosts within the Rosaceae family, with Cydonia, Malus and Pyrus being significant cultivated hosts in North America. The larvae cause severe damage by girdling the trunks of young trees, leading to tree death. Improved pest management in the mid-20th century reduced its impact in orchards. Despite being an EPPO A1 Pest and an EU A1 quarantine pest, no classical biological control has been attempted. Potential natural enemies include 5 hymenopterous parasites (Cenocoelius saperdae, Echthrus niger, Monogonogastra agrili, Xylophrurus nubilipennis luctuosus and Sarcophaga sp.), which are not present in the EPPO region. Additional predators such as spiders, ants, click beetles, carabid beetles and several woodpecker species also contribute to natural control.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.598
Threshold uncertainty score0.853

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4020.425

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 head0.541
GPT teacher head0.595
Teacher spread0.054 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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