Bibliographic record
Abstract
The fate of particle-bound 'Cluoranthene deposited at the sediment-water interface in microcosms with different densities (0 to 300 m-2) of Arenicola marina was followed for 28 d. Worms had a pronounced effect on the degradation rate of fluoranthene. Defecated material quickly buried the surface layer of I4C-fluoranthene into deeper layers of the sediment, where degradation of fluoranthene was much slower than at the more reactive surface sediment in microcosms without A. manna. Only 0.3 and 2.9% of '4C-fluoranthene was mineralised to CO2 after 28 d i n treatments with and without A. marina, respectively. There was no significant difference between degradation rates among different densities of A. marina, although the mixing of fluoranthene into deeper sediment layers was enhanced at higher worm densities. The D0I4C and PO1'C (particulate and dissolved organic 'C) in the overlying water were negatively related with worm density. The ventilating currents of A. marina may have repositioned 14C-activity from the water into deeper sediment layers, which then acted to filter both dissolved and bound fluoranthene. I4C-activity was high in worms after 28 d, approximately an order of magnitude higher than that mmeralised to 14C02 during this penod. The removal of deposited organic contaminants on sediment surfaces through degradation at the highly reactive sediment-water interface or through local transport by currents or wave action can be reduced as a result of burial of contaminants by bioturbating organisms. Contaminants may thus persist longer in the sediment environment and will be released from the sediment over a prolonged period of time. Enhanced biological transport of contaminants to depth can lead to increased exposure of infauna.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.986 | 0.987 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".