Bibliographic record
Abstract
Fluorotelomer carboxylic acids (FTCAs) and the corresponding unsaturated acids (FTUCAs) are known intermediates in the biodegradation of industrially produced fluorotelomer alcohols (FTOHs) to environmentally persistent perfluorinated carboxylic acids (PFCAs). The FTCAs and FTUCAs are of concern for their toxicity, reactivity, and unknown disposition in the environment. The fate of these compounds was investigated in a simple sediment-water microcosm system. Microcosms were spiked with 8:2 FTCA, 10:2 FTCA, 8:2 FTUCA, or 10:2 FTUCA, after which sediment and water samples were collected over time and analyzed by liquid chromatography-tandem mass spectrometry (LC/MS/MS). The FTCAs and FTUCAs investigated in the present study were observed to degrade rapidly, and sorption of these analytes to sediment was found to be greater for the 10:2 telomer acids compared with the corresponding 8:2 telomer acids. Identifiable degradation products of FTCAs and FTUCAs were observed; however, an overall molar balance could not be achieved. The observed reactivity and lability of these analytes may contribute to the low levels of FTCAs detected in environmental samples.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 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".