The Ambrosia Beetle<i>Megaplatypus mutatus</i>: A Threat to Global Broad-Leaved Forest Resources
Bibliographic record
Abstract
Abstract We provide scientists and decision-makers with up-to-date information on Megaplatypus mutatus (Coleoptera: Curculionidae: Platypodinae), a forest insect native to South America that has invaded other regions. Emphasis is given to information that may prove relevant for the development of early detection, containment and management programs and improved risk analyses. The increase in global movement of people and goods, coupled with expected climatic scenarios, suggests that M. mutatus may arrive and establish populations in new areas. The major impact of this forest pest has always been reported in exotic tree species, even within its native range. The absence of a coevolutionary history with ‘naïve’ host trees is a relevant factor when analyzing and understanding the magnitude of the problem posed by this beetle and fungi associated with it. Notably, among preferred hosts are the widely planted Eucalyptus and Populus spp., facilitating the invasion of this insect into new regions and posing a threat to commercial forestry.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".