Notable New North and Central American Records of Ephemeroptera Species
Bibliographic record
Abstract
New regional distribution records and range extensions involving one Canadian province, 17 Mexican states, 10 USA states, and five Central American countries are given for 53 species of Ephemeroptera. In Mexico, states with the greatest number of new species records include Queretaro, Mexico, Nueva Leon and Tamaulipas. For the USA, states with the greatest number of new species records include Oklahoma, Wisconsin, Kentucky and Texas. Farrodes flavipennis, Lachlania fusca and Leptohyphes peterseni records are the first for Mexico and North America, and the presence of Tricoryhyphes mulaiki in Texas represents a new USA record. New Central American country records include Americabaetis pleturus in El Salvador, Camelobaetidius arriaga and Thraulodes zonalis in Guatemala, Euthyplocia hecuba in Honduras, and Thraulodes pacaya in Costa Rica. Highly disjunct northern range extensions discovered for Tricorythodes robacki and T. albilineatus in the St. Croix River on the Minnesota/Wisconsin border parallel a pattern seen in some other psammophilous mayflies in eastern North America. Far eastern Oklahoma records of Acentrella nadineae, Caenis macafferti, and Eurylophella prudentalis demonstrate a common relationship between the Central Highlands and the Southern Appalachians.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".