Lasioglossum (Dialictus) dreisbachi
Bibliographic record
Abstract
Lasioglossum (Dialictus) dreisbachi (Mitchell 1960) (viridatum group) Dialictus dreisbachi Mitchell, 1960: 391. (Michigan holotype) Holotype. ♀ USA: Michigan: Clare Co.: 24 May 1958 (R. & K. Dreisbach) (NMNH). County records: Allegan, Antrim, Arenac, Charlevoix, Cheboygan, Clare, Clinton, Crawford, Eaton, Gladwin, Ionia, Iosco, Isabella, Kalkaska, Kent, Lake, Lapeer, Lenawee, Midland, Montcalm, Ottawa, Saginaw, Shiawassee, Van Buren, Washtenaw. Notes. This species appears to have a northern distribution, reaching its southernmost limits in states that border Canada. Its range remains uncertain due to insufficient sampling in boreal regions of Canada and northern states, and because bee specialists have not been able to distinguish this from other species in the taxonomically challenging Lasioglossum viridatum species group of Gibbs (2010b). Nevertheless, L. dreisbachi has unique mesepisternal sculpturing, which abruptly changes from coarsely rugose to smooth (Gibbs 2010b). Material examined. Allegan Co.: Trevor Nichols Res. Ctr. N42.6 W86.155, 5–16 Jun. 2015, Malaise trap, J. Gibbs & Y. Nozoe (1 ♀ JBWM); Lapeer Co.: Lapper SGA, Norway Lansing, N43.145, W83.353, 28 Jun. 2017, T. Wood (1 ♀ TJWC); Ottawa Co.: Marne, 2 km S, N43.0175 W85.8411, 4 Jun. 2015, Leucanthemum vulgare, S. Way (1 ♀ MSUC: RI); Van Buren Co.: Brown Lk., N42.0992 W86.1862, 12 May 2014, Prunus cerasus (1 ♀ MSUC: RI).
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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".