Bibliographic record
Abstract
In the U.S., serum concentrations of polybrominated diphenyl ethers (PBDEs) have been increasing1 and are substantially higher in North America, overall, compared to Europe. 2,3 This is presumably due to the extensive use of flame retardants containing pentaBDE in consumer products sold throughout the U.S. and Canada, 4 and hence ingestion of PBDE-contaminated dust. 5-10 While a voluntary phase-out of penta, octa, and decaBDE use, a proposed amendment to the PBDE significant new use rule (SNUR) by the U.S. Environmental Protection Agency (USEPA), and state regulations and bans on certain consumer products containing PBDEs11,12 are likely to considerably decrease human exposure to these chemicals from consumer products and dust over the longer term, there are no state or federal directives for regulating brominated flame retardants (BFRs) in food and food products on the U.S. market to reduce exposure via dietary intake. Here, the findings of several current U.S. studies evaluating concentrations of BFRs in different foods are assessed to better understand dietary intake and impact on body burden and the subsequent
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.434 | 0.202 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".