Condensed Tannin Intake in Spiny-Forest-Dwelling Lemur catta at Berenty Reserve, Madagascar, during Reproductive Periods
Bibliographic record
Abstract
Primates vary in their choice or avoidance of plant foods high in condensed tannins (CT). Our study focused on CT intake in two groups of Lemur catta residing in spiny forest habitat during two reproductive periods. We examined whether L. catta in this habitat avoided plant foods high in CT, and whether reproductive females ingested lower concentrations of CT compared with males, since CT consumption compromises protein absorption. Feeding data and plant food samples were collected during reproductive periods in 2006 (early/mid-lactation) and 2007 (early gestation). Food samples were assayed for CT content, and average CT intake was determined for all focal animals. No significant difference was found in CT content of the most commonly consumed foods compared with other foods in each season or between seasons. No sex differences occurred in CT consumption in either reproductive period. These L. catta did not avoid plant foods high in CT, and three strategies - ingesting small amounts of CT regularly, high amounts only over short periods, and geophagy - may assist these lemurs in coping with CT content in their highly seasonal diet. L. catta may also be somewhat physiologically adapted to cope with CT concentrations in their plant foods.
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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".