Characteristics of small mammal populations in thinned and clearcut stands in Japanese larch ( <i>Larix leptolepis</i> ) plantations
Bibliographic record
Abstract
The goal of this study was to gain an understanding of small mammal populations in thinned and clearcut stands in Japanese larch (Larix leptolepis) plantations on Mt. Maehwasan, Hongcheon, Korea. Foliage profiles, diameter at breast height distribution, coverage of ground, and volume of coarse woody debris were significantly different between thinned and clearcut stands. Total number of captured small mammals, number of captured striped field mice, and mean striped field mouse population densities obtained from Jolly–Seber estimates were higher in clearcut stands. Coverage of ground, volume of coarse woody debris, and number of downed trees were critical variables for abundance of small mammals in this study. Our results suggest that retention of coarse woody debris and downed trees prevent reduction of small mammal populations after forest practices in Japanese larch plantations.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".