Bibliographic record
Abstract
Emerald ash borer, Agrilus planipennis Fairmaire, is an invasive wood boring beetle native to eastern Asia which was first detected in North America in 2002. All North American Fraxinus (ash) species are suitable hosts and susceptible to attack. Emerald ash borer larvae feed on phloem beneath the bark of infested trees resulting in girdling and mortality in as little as five years following initial infestation. Since its introduction near Detroit, Michigan, emerald ash borer has rapidly spread throughout much of the United States and portions of Canada, threatening the persistence of ash in invaded regions. I tested a management strategy for emerald ash borer which combines pesticide applications with releases of three species of classical biological control agents: Tetrastichus planipennisi, Spathius agrili, and Oobius agrili. My data suggest that the two approaches are compatible and pesticides did not negatively impact establishment success of T. planipennisi and O. agrili. Additionally, I characterized the assemblage of natural enemies native to the central United States that might be capable of helping regulate emerald ash borer populations, and found twelve morpho-species of natural enemies being recruited to emerald ash borer in this region. Finally, I evaluated the impact of ash decline on native hymenopteran parasitoids and found a positive correlation between ash decline and parasitoid abundance.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".