Figure 126 from: Fisher JR, Fisher DM, Skvarla MJ, Nelson WA, Dowling APG (2017) Revision of torrent mites (Parasitengona, Torrenticolidae, Torrenticola) of the United States and Canada: 90 descriptions, molecular phylogenetics, and a key to species. ZooKeys 701: 1-496. https://doi.org/10.3897/zookeys.701.13261
Bibliographic record
Abstract
The descriptive biology of torrent mites (Parasitengona: Torrenticolidae: Torrenticola) of North America (north of Mexico) is investigated using integrative methods. Material examined includes approximately 2,300 specimens from nearly 500 localities across the United States and Canada, and a few collections in Mexico and Central America. Species hypotheses are derived from a phylogenetic analysis of the barcoding region of cytochrome c oxidase subunit 1 (COI) for 476 specimens and supported with morphology and biogeography. Relationships between species are examined with a combined analysis of COI and two expansion regions (D2–3) of the large ribosomal subunit (28S rDNA) for 57 specimens. All previously described species from the US and Canada are examined. Our results indicate the need to synonymize four species: T. mercedensis (Marshall, 1943) is a junior synonym of T. sierrensis (Marshall, 1943); T. rectiforma Habeeb, 1974 is a junior synonym of T. ellipsoidalis (Marshall, 1943); T. neoconnexa Habeeb, 1957 is a junior synonym of T. magnexa Habeeb, 1955; and T. esbelta Cramer, 1992 is a junior synonym of T. boettgeri KO Viets, 1977. We describe 66 new species and re-describe all previously described regional species. Our findings indicate that total diversity of Torrenticola in the United States and Canada comprises 90 species, 57 known from the east and 33 from the west. We organize these species into four species complexes that include 13 identification groups. An additional 13 species do not fit within an identification group. The southern Appalachians are suspected to contain the highest concentration of remaining undescribed diversity. A key is provided to all known species in the US and Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.111 | 0.001 |
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; both teacher heads agree on what is shown here.
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".