Determination of tetrabromobisphenol A in sediment and sludge
Bibliographic record
Abstract
TBBPA is a high production volume flame-retardant that is used primarily in printed circuit boards. There is limited information available on the occurrence of TBBPA in the environment. TBBPA has limited water solubility and a moderately large log KOW and therefore is likely to sorb to sediment or organic matter in soil once it enters the environment. To address the lack of information on concentrations of TBBPA in North America, a method was developed for the determination of TBBPA in sediment and sewage sludge using accelerated solvent extraction (ASE) and micro-column clean-up prior to analysis by isotope dilution gas chromatography high resolution mass spectrometry (GC/HRMS). The method was applied, and the concentration of TBBPA was determined in Detroit River suspended sediments (0.30 to 1.61 ng/g, d.wt.) and sewage sludge from southern Ontario (below detection to 43.1 ng/g, d.wt.) as well as biosolids from the United States (2.98 to 196 ng/g, d.wt.).
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".