An analysis of the fatty acid composition of raw ruminant milks in the province of Ontario
Bibliographic record
Abstract
This thesis is an investigation of the variations in the milk fatty acid composition as affected by season and region, breed, and other ruminant species. A cold lipid extraction method based on Folch, Lees, and Sloane (J Biol Chem 1957 226) and Bligh and Dyer (Can J Biochem Physiol 1959 37) was used with methyl esters analyzed on a gas chromatograph equipped with a CP Sil 88 column. Seasonal and regional effects, breed as well as smaller ruminant effects were seen in vaccenic, linoleic, and rumenic acids content, total CLA and other PUFAs. Goat and sheep milks had the most SFAs, especially SCFAs. Jerseys and sheep contained the most vaccenic acid whereas goats had the most linoleic acid. Sheep had the highest total CLA content, especially rumenic acid, and also had the most PUFAs. The results provide data which could aid the Ontario dairy industry to produce a potentially healthful product which would benefit all stakeholders.
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 | 0.002 |
| Science and technology studies | 0.002 | 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".