Pest categorisation of Pseudopityophthorus minutissimus and P. pruinosus
Bibliographic record
Abstract
The Panel on Plant Health performed a pest categorisation of Pseudopityophthorus minutissimus and Pseudopityophthorus pruinosus, two well-defined insect species in the family Curculionidae, subfamily Scolytinae (Insecta: Coleoptera). They can be identified using taxonomic keys. P. minutissimus is present in parts of Canada and the USA, and P. pruinosus is present in parts of the USA, Guatemala, Honduras and Mexico. The main host plants of the two species are Quercus spp., but they also attack several other genera. The two species mostly colonise weakened or dead branches but can also attack the stems. They are mostly secondary pests but they vector the oak wilt fungus, Bretziella fagacearum, which causes heavy damage in American Quercus spp. populations. The fungus is mainly transmitted by the young adults during their maturation feeding on twigs, leaf petioles and young acorn stems. The beetles are polygamous and have two generations per year in most of their range. The main pathways are wood, bark, plants for planting, cut branches, chips and wood waste. These pathways are fully or partly regulated for the genera Quercus, Castanea and Prunus. However, the pathways are not regulated for the following genera: Carpinus, Fagus, Hamamelis, Alnus. P. minutissimus and P. pruinosus meet all the criteria assessed by EFSA for consideration as potential Union quarantine pest. The criteria for considering P. minutissimus and P. pruinosus as potential Union regulated non-quarantine pests are not met since neither species are known to be present in the EU.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".