Diet of Kit-rearing Female Martens in Northern Michigan
Bibliographic record
Abstract
The American marten (Martes americana) is a small, slender-bodied, carnivorous mammal found throughout the northern portion of North America. Our study focused on the populations in the Manistee National Forest in Michigans Lower Peninsula and the Hiawatha National Forest in Michigans Upper Peninsula. A large limiting factor on American marten populations is food availability due to their high metabolism and low fat storage. This can be especially important for lactating females that may have up to five kits to sustain. We seek to obtain an understanding of reproducing female marten diets in order to maintain optimal marten habitat. Kit-rearing female martens were fitted with radio collars and radio telemetry used to track them to den sites. Scat, prey remains and remotely-triggered cameras were used to identify diet components. This is novel research that can be used by the Little River Band of Ottawa Indians, the Sault Sainte Marie Tribe of Chippewa Indians, the United States Forest Service and the Michigan Department of Natural Resources to manage for marten habitat in Michigan.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".