Diversity of Agromyzidae (Diptera) in disjunct grasslands of the southern Yukon Territory
Bibliographic record
Abstract
Abstract The diversity of Agromyzidae (Diptera) associated with disjunct xeric grasslands was studied at six south-facing slopes in the southern Yukon Territory, Canada. Agromyzidae was the most diverse of 32 families of Brachycera at the sites, with 34 species (485 specimens) collected. Eight new species are described: Liriomyza nares sp.nov ., Metopomyza adretana sp.nov ., Phytoliriomyza depricei sp.nov ., Phytoliriomyza triangulata sp.nov ., Phytomyza conglomerata sp.nov ., Phytomyza dioni sp.nov ., Phytomyza klondikensis sp.nov ., and Phytomyza takhiniensis sp.nov . Twenty previously described species were identified and six other unnamed species were represented by females only. Fourteen of the 20 previously described species are recorded from the Yukon for the first time; ecological and systematic notes are given for each species. Although the vegetation of the sample sites was often similar, there were pronounced differences in the species assemblage of Agromyzidae collected at each site. Thirteen of the previously known species are widespread in the Nearctic region (including Holarctic species), six species are restricted to the western Nearctic, and one species is known from the Palaearctic and western Nearctic. Several major range extensions are noted.
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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 | 0.000 | 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".