Aethycteron moorei (Monogenoidea: Dactylogyrida: Ancyrocephalidae) from the Fantail Darter, Etheostoma flabellare (Perciformes: Percidae): New distributional records for Arkansas and Oklahoma
Bibliographic record
Abstract
Little is known about monogenean parasites of fishes in Oklahoma (see McAllister et al. 2015). Members of the ancyrocephalid genus Aethycteron Suriano and Beverley-Burton, 1982, have been reported on the gills of various darters (Ammocrypta, Etheostoma, and Percina spp.) from Alabama, Arkansas, Mississippi, New York, North Dakota, Tennessee, and Ontario, Canada (see Hoffman 1999; Hanson and Stallsmith 2013; Cloutman and McAllister 2017). To our knowledge, nothing has been published on any species of Aethycteron in Oklahoma, and a single species, A. robisoni, was only recently described from Arkansas (Cloutman and McAllister 2017). Here, we report new distributional records for a species of Aethycteron from the Fantail Darter, Etheostoma flabellare Rafinesque, in Arkansas and Oklahoma. Etheostoma flabellare is a morphologically variable species of the subgenus Catonotus which some authors suggest is a complex of species (Blanton and Schuster 2008). Page and Burr (2011) consider E. flabellare to comprise three subspecies. Etheostoma flabellare is widely distributed in rocky riffles of small and medium streams in eastern North America from Atlantic, Great Lakes, and Mississippi River basins from southern Quebec to Minnesota, and south to the Pee Dee basin in northern South Carolina, northern Alabama, and northeastern Oklahoma (Page and Burr 2011).
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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 | 0.001 | 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) | 0.002 | 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".