Oribatella (Acari, Oribatida, Oribatellidae) of eastern North America
Bibliographic record
Abstract
The oribatid mite genus Oribatella (Oribatellidae) includes 107 species worldwide, with 13 species reported for eastern North America. Herein, I describe six new Oribatella species from eastern North America: O. flagellata sp. nov., O. jacoti sp. nov., O. nortoni sp. nov., O. metzi sp. nov., O. texana sp. nov., and O. transtriata sp. nov. Oribatella metzi and O. nortoni are described on the basis of adults and immatures. The deutonymph and tritonymph of O. metzi lack dorsocentral setae dm and dp, and the diagnosis of the genus is expanded to accommodate these newly described immatures, and also newly described adult characters. I provide expanded, detailed diagnoses for previously described species of eastern North America: Oribatella arctica Thor, 1930, O. brevicornuta Jacot, 1934, O. dentaticuspis Ewing, 1910, O. gigantea Berlese, 1916, O. mediocris Berlese, 1916, O. minuta Banks, 1896, O. plummeri Jacot, 1934, O. pusilla Berlese, 1916, O. quadridentata Banks, 1895, O. reticulata Berlese, 1916, O. reticulatoides Hammer, 1955 and provide new distribution records where available. I question the specific status of O. extensa Jacot, 1934, and consider records of O. sexdentata Berlese, 1916 from eastern North America to be doubtful. Oribatella quadricornuta (Michael, 1880) is confirmed to occur in eastern Canada. Finally, I give a key to adults of the 18 species of Oribatella now known from eastern 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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".