New and little-known species of feather mites (Acari: Analgoidea: Pteronyssidae) from birds in North America
Bibliographic record
Abstract
Abstract In this paper, we review the pteronyssid feather mites of the genera Pteronyssus Robin, Scutulanyssus Mironov, and Stenopteronyssus Faccini and Atyeo found in the course of an investigation into ectoparasites of birds in Canada. Five new species of feather mites are described: Pteronyssus sphyrapicinussp. nov. from the Yellow-bellied Sapsucker, Sphyrapicus varius (L.); Stenopteronyssus proctoraesp. nov. from the Northern Flicker, Colaptes auratus (L.); Scutulanyssus progneisp. nov. and Scutulanyssus subissp. nov. from the Purple Martin, Progne subis (L.); and Scutulanyssus petrochelidonissp. nov. from the Cliff Swallow, Petrochelidon pyrrhonota (Vieillot). New host records are provided for Pteronyssus picoides Černy and Schumilo from the Downy Woodpecker, Picoides pubescens (L.), and for Scutulanyssus obscurus (Berlese) from the Cliff Swallow; Pteronyssus brevipes Berlese and Scutulanyssus hirundicolus Mironov are formally recorded in North America for the first time; and Pteronyssus centurus McDaniel and Price is reported for the first time in Canada, from Lewis' Woodpecker, Melanerpes lewis (Gray). Scutulanyssus tyrrelli (Canestrini) is reported for the first time in Manitoba from the Tree Swallow, Tachycineta bicolor (Vieillot). Keys are provided for all species of Pteronyssus and Scutulanyssus found in North America.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".