Baseline levels of melamine in food items sold in Canada. II. Egg, soy, vegetable, fish and shrimp products
Bibliographic record
Abstract
A variety of egg-containing, soy-based, fish, shrimp and vegetable products sold in Canada were analysed for melamine (MEL) using a sensitive solid-phase extraction LC-MS/MS analytical method. MEL was detected above the method quantification limit of 0.004 mg/kg in 98 of the 378 samples analysed. Concentrations in the various food product groups ranged 0.00507-0.247 mg/kg (egg-containing items), 0.00408-0.0479 mg/kg (soy-based meat substitutes), 0.00409-1.10 mg/kg (fish and shrimp products), and 0.00464-0.688 mg/kg (vegetable products). MEL was detected less frequently in egg- and soy-containing products. The presence of MEL in most of the Canadian Total Diet Study shrimp composites collected after 2001 suggested the residues in shrimp were caused by a relatively recent exposure to MEL. All concentrations of MEL reported were lower than the 2.5 mg/kg interim standard established for MEL in items containing milk and milk-derived ingredients and the respective maximum residue limits for cyromazine and its metabolite, melamine, in vegetables set by the Canadian Government (2009; http://www.hc-sc.gc.ca/fn-an/securit/chem-chim/melamine/qa-melamine-qr-eng.php#8 ). The consumption of foods containing these low levels of MEL does not constitute a health risk for consumers.
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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 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".