Using community science to explore the spatial distribution of the daylily gall midge (Cecidomyiidae) in Canada’s Maritimes region
Bibliographic record
Abstract
Abstract The daylily gall midge, Contarinia quinquenotata (Loew) (Diptera: Cecidomyiidae), is an ornamental pest of daylilies, Hemerocallis spp. Linneas (Asphodelaceae). Originally native to Asia, this pest was accidentally introduced to western North America, and it is believed to occur throughout other parts of North America even though its presence has not been confirmed. Using an online survey of gardeners across Canada’s “Maritimes” (the region that includes the provinces of New Brunswick, Nova Scotia, and Prince Edward Island), we determined that symptoms of the pest occurred at multiple sites across Nova Scotia, but we received no reports from Prince Edward Island or New Brunswick. Sequencing the cytochrome c oxidase 1 gene of the samples submitted by community scientists, we confirmed the daylily gall midge occurs at multiple sites across Nova Scotia. A common garden study that included 517 daylily varieties found that yellow-flowering varieties were almost twice as likely to be affected as nonyellow varieties. Early-flowering varieties were more likely to be attacked than later-flowering varieties. For each day that the date at first flowering was delayed, the likelihood of gall midge attack decreased by 16%. To avoid or mitigate damage where the daylily gall midge occurs, selecting late-flowering varieties with nonyellow flowers can be a useful complement to destructing infested flower buds.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".