Does fungus consumption by the woodland jumping mouse vary with habitat type or the abundance of other small mammals?
Bibliographic record
Abstract
Fungi are important in the diet of many small mammal species, but patterns of fungus consumption (mycophagy) in eastern forests of North America have received little attention. Examination of stomach contents of the woodland jumping mouse, Napaeozapus insignis, revealed that fungi were an important dietary component in both eastern hemlock and mixed mesophytic habitats. Jumping mice in both forest types consumed mostly Glomalean fungi (primarily from the genera Glomus and Endogone), in agreement with previous studies. Mice also consumed fungi from the genera Elaphomyces and Melanogaster, previously unreported in the literature. Fungi from the genus Hymenogaster were only found in mice from eastern hemlock habitats. Melanogaster spores occurred more frequently in jumping mice from sites in which deer mice, Peromyscus maniculatus, were abundant, whereas Glomalean fungi were less frequent in the diet of N. insignis when deer mice were abundant. Overall frequency of spores in the diet of jumping mice was negatively related to the abundance of deer mice, suggesting that interactions between species may shape patterns of mycophagy.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".