Analysis of the phoretic relationships between mites of the genus <i>Trichouropoda</i> Berlese (Parasitiformes: Uropodina) and the longhorn beetle <i>Plagionotus detritus</i> (Linnaeus) (Coleoptera: Cerambycidae) based on multiannual observations in Białowieża Primeval Forest, Central Europe
Bibliographic record
Abstract
We studied the phoretic relationships between the mites of the genus Trichouropoda Berlese, 1916 (Uropodina) and the longhorn beetle Plagionotus detritus (Linnaeus, 1758) based on large samples of specimens (2050 beetles and 19,216 mites) collected in the Białowieża Primeval Forest in Central Europe. Phoresy was studied over the years 2014, 2015, and 2016, with the emphasis on multi-annual trends in host–phoront associations, seasonal changes in intensity of phoresy, proportion of carriers of mites in the beetle population, and preferences of phoretic deutonymphs for specific parts of the host’s body. The high repeatability in all the variables we studied indicates high stability of the phoretic relationships, probably resulting from the synchronization of life cycles of beetle dispersants and phoretic mites. The long-term coevolution of phoronts and carriers in a natural forest ecosystem, as well as the expected close association of mites with specific beetle-generated microhabitats in larval galleries, may be important factors affecting the strength of the phoretic relationship.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".