Decomposition and ergosterol content of the moss Hylocomium splendens litter under various climatic conditions
Why this work is in the frame
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Bibliographic record
Abstract
We examined the differences in the decomposition rate and fungal biomass in the litter of Hylocomium splendens among forests under different climatic conditions. The samples were collected from one boreal forest in Canada, three subalpine forests on Mt. Fuji and one cool temperate forest on Mt. Tsurugi, Shikoku in Japan. The decomposition rate in the cool temperate forest was much faster than those in the boreal and subalpine forests. Ergosterol, which is a component of fungal cell membranes, was used as an indicator of fungal biomass. Ergosterol was detected not only from brown moss litter but also from green shoots of the moss. In spite of the faster decomposition rate, ergosterol content of the moss litter of the cool temperate forest was about one half of those of the boreal and subalpine forests. The results suggest that the relationship between fungal biomass and decomposition rate differs significantly among forest types.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 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 it