Allozyme analysis of host selection by bark beetles in central Mexico
Bibliographic record
Abstract
A study was done to determine if the bark beetles Dendroctonus adjunctus Blandford and Dendroctonus valens LeConte exhibit a nonrandom selection pattern of susceptible Pinus lawsonii Rozel and Pinus montezumae Lamb. trees that can be related to genetic differences in the tree species. The study was done in an unmanaged, mature forest in which bark beetle infestations have been reported for 15 years. Samples from attacked and nonattacked trees of both pines species were characterized using allozymes. Collected leaf material was run in starch gels with a lithium hydroxide buffer and 15 markers. Attacked trees were more heterozygous, with the allele frequencies for the enzymes aspartate transaminase-1, carboxylesterase-3, L-leucine aminopeptidase-1, lactate dehydrogenase-2, and peroxidase-2 being significantly higher. Both a hierarchical analysis of genetic variability and measurement of genetic distance found differences between attacked and nonattacked trees in both species. It is suggested that the susceptibility of the trees chosen for infestation by the bark beetles is related to the genetic composition of the 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 | 0.001 | 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) | 0.001 | 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".