Den Site Characteristics and Kit Survival of American Marten in Manistee National Forest Michigan
Bibliographic record
Abstract
The American marten (Martes americana) is a small carnivorous mammal historically found throughout the forests of Michigan. Due to its specific habitat requirements, the presence of this species is often used as an indicator of healthy forest structure by ecologists. Marten were extirpated from Michigan's Lower Peninsula by the early 1900s. In 1986 the US Forest Service and Michigan Department of Natural Resources reintroduced 36 marten into the Manistee National Forest. Monitoring efforts have indicated that the population has not expanded as expected since the reintroduction. As part of a collaboration between The Little River Band of Ottawa Indians and Grand Valley State University, female marten have already been fitted with radio collars. I am currently locating female den sites using radio telemetry. A site is categorized as a den based on reoccurring tracking of the female to the same location and presence of kits, prey remains, scat, etc. Remotely triggered cameras will be placed at den sites to monitor female attendance patterns, and document average litter size and kit survival. Den site locations will be analyzed for local habitat characteristics including structure type, tree species, DBH, and tree decay level. Landscape level characteristics including distance to roads, time since last harvest, and dominant vegetation will also be examined using GIS. To analyze use versus availability, den site characteristics will be compared to random sites within the female home range. Results of this study will be used in developing forest management recommendations for maintaining adequate marten denning sites.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".