Temporal Trends of Perfluoroalkyl Compounds with Isomer Analysis in Lake Trout from Lake Ontario (1979−2004)
Bibliographic record
Abstract
The temporal trends of perfluoroalkyl compounds (PFCs), including C7-C15 perfluorocarboxylates (PFCAs), perfluorosulfonates (PFSAs) and heptadecafluorooctane sulfonamide (PFOSA), were determined in lake trout collected between 1979 and 2004 from Lake Ontario. The average concentrations of total PFSAs (+/- standard error of the mean; range) increased from 20 ng g(-1) wet weight (+/- 4; 8-26) in 1979, peaked at 70 ng g(-1) (+/- 7; 58-91) in 1993, and were 46 ng g(-1) (+/- 10; 30-83) in 2004, with perfluorooctane sulfonate (PFOS) asthe most abundant PFC. The PFCAs exhibited similar temporal variation, with concentrations increasing from 1.4 ng g(-1) (+/- 0.1; 0.9-1.9) in 1979 to 9.4 ng g(1) (+/- 3.1; 3-17) in 1988, and were 6.8 ng g(-1) (+/- 1.0; 4.5-9.8) in 2004. Individual mean PFCA concentrations varied between 0.2 and 2 ng g(-1) (wet weight). Perfluorodecane sulfonate (PFDS) and PFOSA were the only compounds showing a declining trend in the past decade, after reaching a peak value in 1993. Branched C11 and C13 PFCA isomers were detected in the lake trout and confirmed in Niagara River suspended sediments, with trends in both matrices suggesting that declining emissions or use of products containing these isomers in part account for the observed PFCA trends in the mid-1990s. However, the most recent samples, comprised almost exclusively of linear isomers, indicate that current PFCA sources to Lake Ontario result from the telomerization process of linear telogens.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".