Degradation of mussel (Mytilus edulis) fecal pellets released from hanging long-lines upon sinking and after settling at the sediment
Bibliographic record
Abstract
Long-line mussel farming is well established in many coastal areas around the world, and the concurrent carbon enrichment below farms potentially can have local environmental impacts. The degradation of released mussel ( Mytilus edulis ) pellets was investigated by a number of complementary incubation approaches. After 140 h in suspension, most of the labile fraction of the pellet material had been degraded. However, because of the shallow water depth at our study site (8 m), only a minute fraction of carbon was released to the water column during sinking, of which ~50% was rapidly turned over. Pellets settling at the sediment in realistic concentrations immediately stimulated the benthic O2 uptake. The elevated O2 uptake gradually declined and reached the background level after 96 h, at which time ~25% of the added material had been degraded. The main fraction of pellets (75%) was more refractory and remained in the sediment where it was either retained or degraded on much longer time scales. The quantitative response of benthic pellet enrichment observed in the laboratory was confirmed by in situ trap measurements and incubations of sediment collected below and away from active farms.
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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 | 0.000 | 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 | 0.000 | 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) | 0.001 | 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".