Study of the sediment contamination levels in a mangrove swamp polluted by a marine oil spill
Bibliographic record
Abstract
Oil residues tend to persist in mangrove sediments for a relatively longer period of time than other coastal habitats because of the anoxic and water logging natures of the sediments. One typical mangrove swamp in Hong Kong SAR was polluted by an oil spill accident taken place in November 2000 with oil washed onto the shore and coated onto the mangrove canopy. The degree of oil contamination in sediments was affected by sediment texture and topography of the mangrove swamp. The substratum at different locations within the mangroves had various degree of contamination by spilled crude oil. The degree of contamination depended on the topography of the mangrove swamp and the texture of the sediment. Potential persistence of oil residues was possible in spite of the warm weather of the Pearl River Estuary region and the fact that the mangrove substratum is washed by tidal water twice a day. This is an abstract of a paper presented at the 25th Arctic and Marine Oilspill Program Technical Seminar (Calgary, Alberta 6/11-13/2003).
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 | 0.001 | 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".