Seasonal intake determination in reproductive wapiti hinds (<i>Cervus</i> <i>elaphus</i> <i>canadensis</i>) using n-alkane markers
Bibliographic record
Abstract
We used bite-count and double n-alkane ratio techniques to estimate dry matter intake (DMI) of wapiti hinds on heavily or lightly grazed pastures, during important reproductive phases (early/late gestation, peak/late lactation). Despite seasonal differences in phytomass between pastures, differences in DMI were not significant and results were pooled for seasonal comparisons. The annual nadir of intake occurred in late gestation (3.44 ± 0.17 kg DM d −1 ) despite the nutrient demands of the rapidly growing foetus. Spring weight loss (−2.9 ± 0.8 g kg −0.75 d −1 ) reflected the inability of hinds to graze sufficiently to meet these nutritional requirements, even though herbage quality was at its seasonal peak. Although energy requirements peaked during early lactation, hinds were able to consume enough high quality forage (5.38 ± 0.25 kg DM d −1 ) to achieve compensatory growth (12.5 ± 1.4 g kg −0.75 d −1 ). Continued elevated intakes through late summer (5.32 ± 0.41 kg DM d −1 ) and autumn (4.41 ± 0.24 kg DM d −1 ) ensured that hinds regained adequate condition for the breeding season. Key words: Intake, n-alkanes, lactation, gestation, wapiti
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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 | 0.001 | 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 | 0.001 |
| 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".