<i>Orchestes fagi</i>(L.), Beech Leaf-Mining Weevil / Charançon du hêtre (Coleoptera: Curculionidae)
Bibliographic record
Abstract
The first record of beech leaf-mining weevil, Orchestes fagi , was made in 2011 in Nova Scotia, Canada, and its geographic distribution has expanded in Nova Scotia and into neighbouring provinces. Outbreaks of O. fagi have been devastating to American beech, Fagus grandifolia , in Nova Scotia. Studies of the biology of O. fagi suggest that successful management will require tactics that keep adult densities low or directly target adult weevils. Insecticide options currently available do not appear to impact adult populations. Foreign exploration for parasitoids to import into Canada for biological control was conducted in 2018 and 2019, and 17 parasitoid species associated with O. fagi were identified, including a parasitoid of adult O. fagi . Studies are now needed to study the biology, host range, and potential efficacy of these parasitoids.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.012 |
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".