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Record W4408587451 · doi:10.1039/d4em00612g

Per- and poly-fluoroalkyl substances (PFAS) contamination of surface waters by historic landfills <i>via</i> groundwater plumes: ecosystem exposure and downstream mass loading

2025· article· en· W4408587451 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEnvironmental Science Processes & Impacts · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsMcMaster UniversityEnvironment and Climate Change Canada
FundersNatural Sciences and Engineering Research Council of CanadaEnvironment and Climate Change CanadaMinistry of EnvironmentGovernment of Ontario
KeywordsContaminationEnvironmental scienceGroundwaterDownstream (manufacturing)EcosystemEnvironmental chemistrySurface waterEnvironmental engineeringHydrology (agriculture)GeologyChemistryGeotechnical engineeringEcologyEngineering

Abstract

fetched live from OpenAlex

(DC)), with evidence of year-round pelagic zone exposure. PFAS concentrations in the epibenthic zones could vary between that of the endobenthic and pelagic zones, sometimes with daily, event-based, and longer-term patterns. Together these findings suggest historic landfill plumes can lead to substantial PFAS exposure to a variety of aquatic life. Downstream PFAS mass loadings during base flows were relatively small individually (15 (HB) and 36 (DC) g per year (∑PFAS)); however, collective loadings from the numerous historic landfills in a watershed could contribute to increasing PFAS concentrations of connected water bodies, with implications for ecological health, drinking water sources, and fisheries.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.203
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it