Exposure to mercury and Aroclor 1268 congeners in least terns (Sternula antillarum) in coastal Georgia, USA
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.
Bibliographic record
Abstract
Concentrations of total mercury and the rare PCB mixture Aroclor 1268 in least terns (Sternula antillarum), a colonially-nesting, piscivorous seabird, in the Turtle River estuary and other coastal sites in Georgia, USA, were investigated. The Turtle River estuary is the location of the Linden Chemical Plant (LCP) Superfund site, a site prioritized by USA law for immediate remediation, where industries released effluent containing these contaminants until 1994. Aroclor 1268 is a highly-chlorinated PCB mixture that was used and released exclusively at the LCP site and nowhere else in the south eastern USA. High concentrations of Aroclor 1268 congeners and mercury have been documented in biota local to LCP, but no studies report concentrations in high trophic level, piscivorous birds such as least terns. We collected feathers and feces from chicks, and eggs from adults, at nesting colonies along the Georgia coast to analyze contaminant loads (in dry weight ppb). Mean Aroclor 1268 mixture concentrations in eggs (≤16,329 ppb) were highest at colonies in and just outside LCP, and decreased with increasing distance (up to 110 km) from LCP, but the Aroclor 1268 signature congener mixture was present at all sites. Mercury concentrations in eggs (≤3370 ppb), feathers (≤5950 ppb), and feces (≤417 ppb), were present at all sites, but did not vary significantly among sites. This report confirms the extensive dispersal of Aroclor 1268 congeners (approximately 110 km north and 70 km south of its point source) via bioaccumulation and trophic transfer.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 it