Horsehair worm,<i>Paragordius varius</i>(Nematomorpha: Gordiida): New to the Fauna of Oklahoma
Bibliographic record
Abstract
During July 2011, collections of several freshwater horsehair worms were made at two sites (Mud and Salt creeks) in McCurtain County, Oklahoma. The specimens were subsequently identified as Paragordius varius (Leidy, 1851), which represents a new nematomorph for the state. The only previously reported horsehair worm from Oklahoma is Gordius robustus Leidy, 1851, from Stillwater, Payne County. Paragordius varius is probably the most common and widespread gordiid species in the New World. It is now known from 25 (plus the District of Columbia) of the contiguous United States and three provinces of Canada and also has been reported from Hawaii and throughout South America. Collecting at several other sites in the eastern part of the state failed to recover additional P. varius.Durante julio del 2011, colecciones de varios gusanos crin de caballo se realizaron en dos sitios (Mud y Salt Creeks) en el condado de McCurtain, Oklahoma. Los especímenes fueron identificados después como Paragordius varius (Leidy, 1851), lo que representa un nuevo nematomorfo para el estado. El único gusano crin de caballo anteriormente registrado de Oklahoma es Gordius robustus Leidy, 1851, de Stillwater, condado de Payne. Paragordius varius es probablemente la especie gordíida más común y ampliamente distribuida en el Nuevo Mundo. Actualmente se conoce en 25 estados (más el Distrito de Columbia) de los Estados Unidos contiguos y tres provincias de Canadá y también se ha registrado de Hawaii y en toda América del Sur. Buscar en varios otros sitios en la parte oriental de Oklahoma no logró encontrar especímenes adicionales de P. varius.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".