Isotopic and molecular analyses of n-alkanes in a temporal study of coastal sediment contributions to organic carbon degradation induced by algal bloom and terrestrial runoff
Bibliographic record
Abstract
= -46.8 ± 0.4 ‰). Mixing models indicate the sedimentary OC contribution to the degraded biomarkers, for which an increasing trend suggests a PE. Phytoplankton-amended microcosms showed a sediment OC contribution of 10.3 ± 1.5 % to the degradation of the C17 n-alkane. The corn leaf spike resulted in consistently higher contributions of 30.4 ± 3.6 % for the lost C29 n-alkane, documenting the effect of carbohydrate rich organic matter on sedimentary OC remineralization. A synergistic interaction emerged when sediments received a mix of marine and terrestrial OC, exhibiting contributions to n-alkane loss of 48.3 ± 5.3 % for C17, and 35.2 ± 5.2 % for C29. Following biochemical fractionation that leads to the selective breakdown of certain biochemical structures, our data indicate greater sedimentary degradation during induced terrestrial runoff compared to an algal bloom, providing a quantitative measure of OC remineralization.
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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) | 0.000 | 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".