The effect of host condition on adult emerald ash borer (<i>Agrilus planipennis</i>) 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.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".