Human biomonitoring reference values derived for persistent organic pollutants in blood plasma from the Canadian Health Measures Survey 2007–2011
Bibliographic record
Abstract
Nationally representative human biomonitoring data on persistent organic pollutants (POPs) including organochlorine pesticides (OCs), polychlorinated biphenyls (PCBs) brominated flame retardants (BFRs) and perfluoroalkyl substances (PFASs) are available through the Canadian Health Measures Survey (CHMS). We have used a systematic approach building on the reference interval concept proposed by the International Federation of Clinical Chemistry and Laboratory Medicine and the International Union of Pure and Applied Chemistry to derive human biomonitoring reference values (RV95s) for selected POPs in blood plasma in the general Canadian population. Biomarkers were chosen based on specific selection criteria including their detection in most Canadians (>66% detection rate). Age and sex were evaluated as possible partitioning criteria and separate RV95s were derived for the sub-populations in cases where partitioning was deemed necessary. RV95s for OCs, PCBs, and BFRs were derived both on a whole weight of blood plasma and on a lipid weight adjusted basis whereas they were derived only on a whole weight basis for PFASs. RV95s ranged from 0.018 μg/L (PCB 201) to 21 μg/L (perfluorooctane sulfonate) and from 3.1 μg/kg lipid (PCB 201) to 1400 μg/kg lipid (p,p′-DDE). The 22 RV95s reported in this paper represent the first set of reference values for POPs in the Canadian general population against which individual and population human biomonitoring data may be compared.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".