Ecological correlates of pest infestation on roseroot (<i>Rhodiola rosea</i>), a culturally important medicinal plant
Bibliographic record
Abstract
Pests can have detrimental effects on plant populations by compromising growth, reproduction, and survival. Dryocoetes krivolutzkajae Mandelshtam (Curculionidae: Scolytinae) infests rhizomes of roseroot (Rhodiola rosea L.) in isolated areas of North America. This study documents the first record of D. krivolutzkajae for the island of Newfoundland (Canada) and investigates correlates of infestation on roseroot plants. This study examines the distribution of D. krivolutzkajae on roseroot and the relationship between infestation and plant substrate, sex, distance to the ocean, population size, biomass, and distance between sample sites. Dryocoetes krivolutzkajae is widespread across the island, found in 13/17 sites surveyed, and infestation was associated with plants with greater rhizome biomass, especially male plants. Geographically closer sites had higher proportions of infested plants. No association was found between infestation and plant substrate, distance to the ocean, or population size. Galls characteristic of eriophyid mites were also found on roseroot plants but were uncommon (3/17 sites surveyed). Because roseroot is a culturally important medicinal plant that is endangered in parts of its range, studying the effects of pests on the growth and survival of this species is important for its conservation and cultivation.
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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".