PARTITIONING OF SPACE, FOOD, AND TIME BY SYNTOPIC PEROMYSCUS BOYLII AND P. CALIFORNICUS
Bibliographic record
Abstract
We used trap associations, nest-site preferences, a food selection experiment, and measurements of nightly activity to describe resource partitioning by syntopic Peromyscus californicus and P. boylii in Monterey County, California. P. californicus and P. boylii were active over the same range of time during the night. P. boylii was caught frequently near Quercus agrifolia, nested under canopies with high densities of Q. agrifolia, and consumed more Q. agrifolia acorns than P. californicus. Relative to P. boylii, P. californicus was a habitat generalist that did not discriminate among canopy plants for nest sites and had a broad diet. At high densities of P. californicus, the 2 species were negatively numerically associated. Both interspecific interactions and habitat partitioning (canopy level), via the specialization of P. boylii on Q. agrifolia, appear to facilitate the coexistence of P. boylii and P. californicus.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".