Ochratoxin A in Human Milk From the MIREC Study
Bibliographic record
Abstract
BACKGROUND: Ochratoxin A (OTA) is a mycotoxin produced by multiple fungal species and is found in a variety of foods. Ingestion of OTA-contaminated foods by lactating mothers can lead to OTA exposure in infants. METHODS: To help assess infants' exposure to OTA, milk samples from the Maternal-Infant Research on Environmental Chemicals (MIREC) Human Milk Study were analyzed. Human milk samples were collected (n = 494) and analyzed for OTA levels by HPLC. RESULTS AND DISCUSSION: The mean OTA concentration was 7.32 ± 9.25 ng/L, with 390 (79%) test samples testing positive for OTA and a range of 4.5-192 ng/L. Based on the food consumption questionnaires distributed among participants, higher OTA levels were observed with higher consumption of cottage cheese, hot cereal, and whole-grain bread and significant differences were found in OTA levels at different sites. The mean OTA level in the analyzed milk test samples was well below the amount found in infant formulas sold in Canada, which was determined by Health Canada to be safe. CONCLUSIONS: The concentrations of OTA found in human milk in this study are well below the amount deemed safe in infant formula by Health Canada and, therefore, unlikely to be of concern to infant health.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".