Total Folate and Synthetic Folic Acid Content in the Food Supply and Its Influence on Absorption Across the Colon
Bibliographic record
Abstract
To reduce the risk of neural tube defect-affected pregnancies in Canada, folic acid fortification of foods is mandated, and women planning a pregnancy are advised to consume a folic acid-containing supplement. This research aims to determine the amount of folic acid in fortified foods and understand the impact of folic acid on folate absorption in the colon. In study one, analysis of fortified foods by microbial analysis and mass spectroscopy showed 65% higher folate values than in the Canadian Nutrient File. In study two, an on-going randomized clinical trial, we seek to investigate the influence of folic acid on folate absorption in the colon. Data herein verify the feasibility of the protocol and that the feeding and supplement intervention produced two distinct groups in terms of blood folate status. This work will facilitate an improved understanding of available sources of folate to inform future folate supplementation and fortification recommendations.
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".