Evaluating effects of foods containing high oleic canola oil, DHA, and fibre on body composition and fatty acid metabolism: The CONFIDENCE (canola oil and fibre with DHA enhanced) study
Bibliographic record
Abstract
Thirty-five volunteers were randomized and twenty-nine completed the study. Mean plasma and red blood cell (RBC) total DHA concentrations, which were analyzed among all participants as a measure of adherence, increased significantly in the DHA-enriched treatment compared to control oil-control flour. The plasma and RBC n-6: n-3 ratio was reduced after consumption of HOCODHA-control flour compared to control oil- control flour. The present study failed to see differences in body composition with the HOCODHA-barley flour treatment versus control oil-control flour treatment. In conclusion, significant increases in plasma EPA and DHA levels, as well as the omega-3 index, provide evidence supporting the cardioprotective effects of HOCODHA. The present study demonstrated that in the context of current Western macronutrient intakes, altering the dietary fatty acid composition and adding β-glucan had no major effect on body composition during the 28 days controlled dietary intervention.
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 | 0.001 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".