Inname van gebromeerde difenylethers via devoeding door de Nederlandse bevolking
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The long-term intake of the sum of ten brominated diphenyl ethers (PBDEs, flame retarding substances) via food by the Dutch population is estimated at 1.7 ng per kg bodyweight per day (median value). The consumption of oil and fats and of milk, fish and meat have the highest contirubutions to the total intake. The intake is comparable to the values calculated for Canada, Sweden and Finland, and lower than those for Spain and the United Kingdom. The intake calculations were performed using recent analyses in food products obtained in The Netherlands in 2003/2004 and the consumption data of the Third Dutch National Food Consumption Survey (1997/1998). In the calculation the samples in which PBDEs could not be detected (so-called non-detects) were assigned the value of the limit of detection (LOD) divided by two. If a value of zero is assigned instead, the intake estimation shifts to 1.0 ng/kg bw/day. The values of the 97.5th percentile (the intake of 97.5 % of the population is below this value) are 3.3 and 2.2 ng/kg bw/d (non-detects assigned =WLOD and zero, respectively). The highest concentrations of the sum of the PBDEs were measured in fish (especially herring). BDE 47 is the PBDE with the highest incidence.
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.
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 | 0.017 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it