Carbon quality and quantity in lake sediments and their relationship with pore-water and lake-water methane among lakes of the Mackenzie River Delta, Western Canadian Arctic
Bibliographic record
Abstract
Sediment cores were taken from lakes in the Mackenzie Delta to assess how carboncontent in the lake sediments, and their dissolved organic matter (DOM) quantity and quality, affects methane (CH4) concentrations in the pore-waters and lake-waters.Cores were taken just before ice-out (34 lakes), then bi-weekly (6 lakes) until late open-water, in combination with CH4 oxidation (MOX) measurements at the sediment-water interface.Fluorescence components derived from Parallel Factor Analysis of pore-water DOM (four under-ice, six open-water) revealed carbon-quality patterns related to river-to-lake connection times and pore-water CH4.Pore-water CH4 was lower concentration and less depleted in 13 C in near-surface relative to deeper sediments.Anaerobic electronacceptor concentrations were well-related to near-surface CH4 concentrations, but varied by lake, whereas DOM-quality measures were more strongly related to pore-water CH4 at deeper depths.MOX rates ranged from 2.72 to -0.19 umol CH4 m -3 s -1 and were related to CH4 substrate concentrations and sediment-N content.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".