Remediation of white phosphorus contamination in an Alaskan wetland
Bibliographic record
Abstract
Eagle River Flats, an estuarine salt marsh located on Fort Richardson near Anchorage, Alaska, has been utilized as a military impact area for almost 60 years and is contaminated with white phosphorus, a highly toxic element used as an obscurant. When munitions containing white phosphorus were fired into the cool, wet glacial sediments of the Flats, particles of the disbursed chemical became extinguished. Dabbling ducks and swans sieve these seed-size particles from the bottoms of ponds throughout the range. The persistence of the particles in the saturated sediments has resulted in thousands of waterfowl deaths that continue 15 years after the cessation of the munition's use. A remediation method was devised to attenuate the contaminant that will be effective in the short, cool summer season while minimally impacting the environment. Although the cold climate limits the efficiency of the remediation, we were also able to use it to our advantage. Key words: white phosphorus, remediation, dabbling ducks, cold, ice, glacial silt, contamination, impact range, pumping, unexploded ordnance.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".