The presence of<i>Aceria anthocoptes</i>(Nalepa) (Acari: Eriophyidae) on<i>Cirsium</i>species in the United States
Bibliographic record
Abstract
Abstract A rust mite not previously reported in the U.S. was observed on Canada thistle (Cirsium arvense [L.] Scop.) growing in Maryland. Based on examination of specimens under light and low-temperature scanning electron microscopy, the mite was identified as the rust mite, Aceria anthocoptes (Nalepa). The mite was found throughout Maryland, in its bordering states, and in two northcentral states (Minnesota and North Dakota). Other Cirsium species growing near Canada thistle infested with A. anthocoptes did not harbor the mite. We conclude that, although only recently discovered in this geographic region, A. anthocoptes is widely distributed in the mid-eastern U.S. and is host specific to Canada thistle.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".