New species in the<i>Lasioglossum petrellum</i>species group identified through an integrative taxonomic approach
Bibliographic record
Abstract
Abstract By means of an integrative taxonomic approach using morphology and DNA barcodes, multiple cryptic species withinLasioglossum(Dialictus)petrellum(Cockerell) (Hymenoptera: Halictidae) were discovered. Analysis of DNA barcode sequence data from across the supposed range ofL. petrellumrevealed distinct genetic differences that correlate with patterns of morphological variation and geographical distribution. The most morphologically distinct pair of species had the smallest DNA-barcode gap. The taxonomic limits ofL. petrellumare revised and four new species are described and illustrated:L.(D.)tuolumnensesp. nov.,L.(D.)griswoldisp. nov.L.(D.)droegeisp. nov., andL.(D.)viridipetrellumsp. nov.A key to species of the “L. petrellum” group is provided.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".