Quarterly sample results for per- and polyfluoroalkyl substances (PFAS) for locations in Campbell, Wisconsin, 2021-24 (ver. 2.0, March 2025)
Bibliographic record
Abstract
This data release provides the concentration results for per- and polyfluoroalkyl substances (PFAS) collected on French Island, in the town of Campbell, Wisconsin, sampled quarterly beginning in 2021. These samples were collected from groundwater wells (potable and non-potable taps) by the U.S. Geological Survey (USGS) Upper Midwest Environmental Science Center (UMESC). Three U.S. Environmental Protection Agency (EPA) certified laboratories were contracted to analyze samples for this study. Samples from the first sampling in 2021, were analyzed by SGS Axys Analytical Services Laboratory (SGS Axys) in British Columbia, Canada. Samples from the second sampling in 2021 were analyzed at the Wisconsin State Laboratory of Hygiene (WSLH), University of Wisconsin-Madison, Madison, Wisconsin. Subsequent samples were analyzed at Northern Lake Service, Inc. (NLS), Crandon, Wisconsin. All samples were analyzed using liquid chromatography/tandem mass spectrometry (LC-MS/MS). UMESC used three analytical labs because of the dynamic nature of sampling needs and design that shifted from an initial determination of water-supply contamination to a quarterly sampling scheme. The initial laboratory (SGS Axys) was selected because of an existing contract for PFAS tissue analysis for research that allowed for rapid submission and results. The second laboratory (WSLH) was selected to meet Wisconsin PFAS monitoring criteria and improve sample delivery within the U.S. The third laboratory (NLS) was selected using the USGS acquisitions contract process to find a certified laboratory to accomplish the long-term monitoring sampling plan. All three laboratories were selected from the EPA list of PFAS certified laboratories. This version 2.0 data release updates the results table with more quarterly results for samples collected March 28, 2023-March 19, 2024. The full dataset lists quarterly sampling results collected between February 4, 2021-March 19, 2024. Revision history First release: December 2023 Revision 2.0: March 2025 Table titles including 'v2' are the version 2.0 files.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.009 |
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".