Lasioglossum (Lasioglossum) egregium
Bibliographic record
Abstract
Lasioglossum (Lasioglossum) egregium (Vachal, 1904) [Lectotype: NMW; ♀ Yale, British Columbia, Canada] The range of L. egregium spans from southwestern Canada to the BCP, Mexico. There are two preserved specimen records collected in the Baja California Mountains in Sierra San Pedro Mártir in May 1958 vouchered in EMEC (GBIF 2023). We reviewed one female collected in Isla Cedros in July 1983, and one male collected in the Chaparral near the border with the USA in May 1981 (SDNHM). ECOAB team collected one female in the Baja California Mountains in Sierra Juarez in July 2013. Additionally, at Sierra San Pedro Mártir the BBPT collected this species in the Baja California Mountains in May 2018 (1 ♀), May 2022 (1 ♀, 1 ♂); and Chaparral ecoregion in April 2023 (2 ♀). Voucher specimens are in MABC. See fig. 183.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".