The burial characteristics of organic carbon along the vicissitude of coastal oyster farming
Bibliographic record
Abstract
Abstract Through biodeposition, oysters increase the flux of organic carbon (OC) that deposits and stabilizes on the seafloor and is potentially recorded in the sediment core. However, the linkage between oyster farming and OC burial has not received much attention. This study selected a typical oyster farm with approximately half a century of farming history in Sanggou Bay, China. The OC burial efficiency during the vicissitude of the farm was reconstructed by estimating OC biodeposition flux and OC burial flux. Additionally, microbial necromass was determined to indicate microbial activities. The results showed an increase in OC burial flux when farming became intensive, reaching an average of 91.60 ± 10.98 g m−2 yr−1 with a mean microbial necromass contribution of 30.51 ± 8.56% to the sediment OC. However, the burial efficiency was negatively correlated with OC biodeposition flux with an average of 30.17 ± 12.19%. The outcomes suggest that oyster farming has a strong OC burial capacity. Nevertheless, biodeposition flux from excessive farming triggers stronger microbial degradation of OC, reducing the ratio of OC from biodeposit to burial.
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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".