ANALYSIS OF NUTRITIONAL CONTENT OF PLANTS CONSUMED BY GOATS IN A LOCATION IN THE CAÑADA, OAXACA
Bibliographic record
Abstract
Results of the nutritional content of some consumed plants species by goats ( Capra hircus ) in San Gabriel Casa Blanca in the Canada region within the Tehuacan-Cuicatlan Biosphere Reserve are reported. In November 2012 (rainy season) and May 2013 (dry season) 16 plants species commonly consumed by goats were collected. The parameters determined were crude protein, dry matter, ash, crude fat, crude fiber, neutral detergent fiber, acid detergent fiber, calcium, phosphorus, in vitro dry matter digestibility and metabolizable energy. The results were compared by multivariate analysis. From the rainy season analyzed species Ceiba parvifolia, Waltheria indica, Prosopis leavigata, Solanum sp. and Sanvitalia procumbens contributed with high content of crude protein, acid detergent fiber, nitrogen-free extract, phosphorus and crude fat; while in the dry season Acacia farnesiana, Prosopis leavigata and Ziziphus pedunculata were important source of crude protein, metabolizable energy and in vitro dry matter digestibility. These results may have implications for management goats in the study region.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".