Data from: The effect of host condition on adult emerald ash borer (Agrilus planipennis) performance
Bibliographic record
Abstract
For invasive species, how successful adult insects are in various life history processes influences how well invaders can colonize and reproduce. Emerald ash borer (EAB) is a significant invasive forest insect in North America that has killed millions of ash trees. While the effect of host condition on larval performance has been examined, the effect of host condition on adult performance has not. In this study, healthy trees were girdled to simulate poor host condition and then both artificially and naturally infested by EAB. The ensuing adults that developed and emerged were then assessed for their success in terms of number, lifespan, size, mating success and fecundity. Girdling reduced the number of insects that emerged from trees, and was associated with reduced lifespan, but had confounding effects on mating success and fecundity. Adult size was positively affected by girdling but negatively affected by crowding that larvae experienced during development. This suggests that it is not necessary to consider host condition when assessing the risk of EAB, as the dynamics of populations attacking poor-condition trees will be the same as the dynamics populations attacking healthy trees.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".