Fatty acid content of Creole-Nubia goat milk with different seasonal diets in an intensivefeeding system in an arid region
Bibliographic record
Abstract
The objective is to determine the seasonal-diet effect (dry, rainy) on goats’ milk fatty acid profile reared on a farm with an intensive production system located in an arid zone of Mexico. In the rainy season, a group of 10 goats, Creole × Anglo-Nubian, consumed a diet composed exclusively of alfalfa hay (Medicago sativa). Meanwhile, in the dry season, a similar goat group ate a mixture of corn (Zea mays) and sorghum grains (Sorghum bicolor), and buffel grass hay (Cenchrus ciliaris) in a 1:1:1 ratio. The goats were between 90 and 180 days of lactation. The saturated, monounsaturated, polyunsaturated, and branched-chain fatty acids in milk were measured. The rainy-season milk showed a higher content of fatty acids; however, the contents of most types of fatty acids were not significant between seasons, except for the polyunsaturated (18:2 n-6, -linoleic acid) and highly unsaturated fatty acids (arachidonic, eicosapentaenoic, and docosahexaenoic acid).
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 | 0.000 | 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".