Bibliographic record
Abstract
Lasioglossum (Dialictus) deceptor (Ellis, 1914) Fig. 33A Halictus (Chloralictus) deceptor Ellis, 1914: 101 (holotype, ♀, USNM ENT00535076). Dialictus deceptor – Moure & Hurd 1987: 99 (catalogue). Type material Holotype GUATEMALA – Izabal • 1 ♀; Quirigua; [15.27° N, 89.04° W]; Feb.–Mar. 1912; W.P. Cockerell leg.; USNM ENT00535076. Other material examined MEXICO – Yucatán • 1 ♂; Alfonso Caso, 10 km W of Tzucacab; [20.08° N, 89.15° W]; 12 Feb. 1987; Charles D. Michener leg.; ex Viguiera dentata; SEMC. Remarks Rare on the Yucatán Peninsula. The identification of this species is somewhat uncertain because only a single male was discovered in the Yucatán Peninsula, while the holotype is a female. The specimen analysed is believed to be L. deceptor and not the male of L. tropicior based on the relatively long face and moderately dense mesoscutum punctures (i = 1–2 pd), which agree more closely with the holotype of L. deceptor than with L. tropicior. Furthermore, both these species were described from the same type locality, so it is assumed that if one occurs on the Yucatán Peninsula, the other is also likely to occur there.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".