Supplemental Table 1 from "An annotated checklist of clearwing moths (Lepidoptera: Sesiidae) in British Columbia and Yukon Territory" published in the Journal of the Entomological Society of British Columbia
Bibliographic record
Abstract
An annotated checklist of clearwing moths (Lepidoptera: Sesiidae) in British Columbia and Yukon TerritoryTyler D. Nelson, Kristoferson Cu, Joel F. Gibson, Karen M. Needham, Esme John, Gary J.R. Judd, and Chandra E. MoffatThe clearwing moths (Lepidoptera: Sesiidae) are infrequently documented wood-boring insects. Some species achieve pest status in managed ecosystems across North America, threatening agricultural and forestry sectors. The invasive apple clearwing moth, Synanthedon myopaeformis (Borkhausen), is one such pest species; its larvae damage domesticated apple (Malus spp.) (Rosaceae) trees in the southern reaches of British Columbia, Canada. Future management of this pest with classical biological control requires an understanding of ‘non-target’ sesiid distribution. To that end, we have produced an annotated checklist of species distribution and host-plant records in British Columbia and Yukon Territory, Canada. We report a total of 22 sesiid species in these two jurisdictions, based on more than 2000 records from entomological museums, online community science databases, and the primary literature. This annotated checklist will be used to inform the biological control programme of S. myopaeformis but will also be a valuable resource for understanding sesiid diversity in western Canada.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.011 | 0.021 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.535 | 0.107 |
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".