Supplemental data for: Biology and behaviour of the box tree moth (Cydalima perspectalis), an invasive nursery and landscape pest in southern Ontario
Bibliographic record
Abstract
The box tree moth (BTM) (Cydalima perspectalis) is an invasive insect pest that was confirmed to be present in Etobicoke, Ontario by the CFIA in November, 2018. BTM attacks boxwood (Buxus sp.), a popular broadleaf plant used in residential and commercial gardens, hedges and topiary in Canada. For the nursery sector, boxwood represents a very high value, slow-growing crop in Ontario, Quebec and BC. BTM is a distinct threat to this industry causing severe defoliation that quickly leads to death of the plant in both young and mature specimens. This project focused on the development of a sustainable integrated pest management (IPM) program for BTM that includes monitoring, a phytosanitary protocol, BTM biology in Ontario (life cycle, plant phenology indicators, degree day), biological and chemical control tactics. The overarching objective of the project is to develop an effective IPM program for the that will allow the nursery industry and residential landowners to manage and slow the spread: 1) Survey and monitoring - delineate the dispersal of box tree moth from confirmed locations in Etobicoke; identify outbreaks in new areas away from Etobicoke but associated with boxwood in Ontario; 2) Investigate the biology, population ecology and behaviour of BTM in Ontario since they appear to be different from population in Asia and Europe; 3) IPM - strategies for BTM management will be investigated with a focus on biological (classical, augmentative and conservation) , and chemical (screening chemicals; biochemical biopesticides - mating disruption) controls; 4) Develop a BTM phytosanitary protocol/certification for commercial growers of box tree in an effort to retain export markets to the US.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.583 | 0.078 |
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".