Production of Docosahexaenoic Acid (DHA) Enriched Bacon
Bibliographic record
Abstract
North American consumers interested in improving their health through diet perceive red meat as a source of too much saturated and unhealthy fat in the diet. The purpose of this trial was to produce bacon enriched with the long-chain omega-3 fatty acid, docosahexaenoic acid (DHA). In this 25 day study, pigs were fed a standard finisher diet of canola, pea, corn, and barley, mixed with DHA, added in the form of alga biomass. Bacon content of DHA was increased to 97 mg/100 g when 1 g of DHA was added to a kilogram of feed. The pigs fed the highest diet level of alga biomass, containing 0.29% DHA, produced bacon with approximately 3.4 mg of DHA/g and 1.2% of the fat as omega-3 fatty acids. Feed to gain was significantly improved, and carcass quality was unaffected. However, problems of off-odors and off-flavors were reported in the bacon from the taste panel survey. Polyunsaturated fat and potential unsaturated fat oxidation as indicated by malonaldehyde levels were significantly higher in the pigs fed the higher concentrations of DHA.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".