Geographic variation in foraging patterns of pre-incubating female Mallards
Bibliographic record
Abstract
Differences in productivity between habitats in different parts of a duck's breeding range may influence how birds allocate time to meet the exogenous nutritional requirements of clutch formation. However, no study has compared activity patterns between birds in different portions of their breeding range. We used focal-bird observations to compare the time-activity patterns of pre-incubating female Mallards (Anas platyrhynchos) in the prairie pothole region of Manitoba and North Dakota with those in eastern forested New Brunswick. Birds in eastern Canada had higher foraging effort (63.7 vs. 41.6%, P < 0.01) and spent less time in comfort (12.2 vs. 7.6%, P = 0.01) and locomotion (12.7 vs. 4.1%) activities than birds on the prairies. Females responded to lower productivity by devoting more time to foraging, which may be why Mallards in eastern Canada are able to lay first clutches that are equal in size to those of prairie Mallards.
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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 | 0.001 | 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".