Seasonal Methane Dynamics in Lakes of the Mackenzie River Delta, Western Canadian Arctic
Bibliographic record
Abstract
Methane (CH4) dynamics were investigated in lake-waters of the Mackenzie River Delta in 2014 and 2015 to estimate CH4 emissions and evaluate potential drivers of seasonal CH4 dynamics.Water-column CH4 and related variables were measured at end-of-winter and tracked through open-water in up to 43 lakes, plus water-column CH4 oxidation (MOX) and water-to-atmosphere emissions were measured in 6 lakes.Under-ice CH4 accumulations were high by end-of-winter, with levels in some lakes greater than 20 years prior.Water-column CH4 and carbon-quantity are positively related regardless of season, however, relationships between CH4 and carbon-quality are strikingly different between winter and open-water.CH4 is inversely related to pH, which, surprisingly, also negatively affects MOX.MOX is highest at ice-out and decreases over open-water.Based on arealweighted fluxes, Mackenzie Delta lakes emitted 35.79 Gg of CH4, with 24% occurring at ice-out, and during open-water 50% and 26% respectively occurring via ebullition and diffusion.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".