ARCTIC Zn Vitro Digestibilities of Plants in Rumen Fluids of Peary Caribou
Bibliographic record
Abstract
ABSTRACT. In vitro fermentation with expressed rumen fluids was used to evaluate the apparent comparative digestibilities of plants ingested by Peary caribou (Rungifer turundus pearyi) in arctic Canada. The apparent digestibilities of vascular plant components col-lected in summer and fermented for 60 hours with “summer ” rumen inoculum generally were in the range 50-80%, digestibilities of lichens ranged from 18-85%, and those of mosses from 11-35%. In similar trials in which plants collected in the winter were fer-mented for 60 hours with “winter ” rumen inoculum, the green parts of two sedge species were more digestible (65 and 74%) than the corresponding cured leaves (25 and 43%), lichens generally were highly digestible (54-83%), and mosses poorly digested (3-1 1%). We obtained clear evidence of a seasonal change in the digestive capacity of rumen fluids. Fermentation for periods of 30, 60, and 90 hours revealed that components of vascular plants were digested most rapidly, followed by lichens and mosses. There was no interac-tion among mixed samples of plants; composite digestibilities approximated expected values based on weighted mean digestibilities of the component species. Peary caribou select forages of high digestibility but they consume, perhaps incidentally, plants of low
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 | 0.001 | 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 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".