Spatiotemporal variability in chromophoric dissolved organic carbon in small, shallow lakes from discontinuous permafrost peatlands (Taiga Plains, Northwest Territories, Canada)
Bibliographic record
Abstract
Lake browning has been widely projected for northern lakes affected by permafrost thaw, but the inherent heterogeneity in permafrost landscapes coupled with a paucity of data for many regions makes it challenging to develop circumpolar-scale assessments. This heterogeneity was evident in our analysis of surface water chemistry in 51 small, shallow (0.5–3 m) lakes in discontinuous permafrost peatlands of the Taiga Plains (Northwest Territories, Canada), which were distributed across three Level IV ecoregions (Cameron Uplands, South Mackenzie Plain, Tathlina Plain). A positive association between dissolved organic carbon (DOC) and true colour was only observed in the Cameron Uplands, while lakes in the Tathlina Plain had high concentrations of nonchromophoric DOC. Chromophoric DOC was the primary driver of variation in subfossil diatom (Bacillariophyceae) assemblages in sediment cores from a subset of 23 lakes, where small benthic Fragilariaceae that are known to be tolerant of low-light conditions were more abundant in highly coloured lakes. Only 2 of the 23 lakes exhibited increases in small benthic Fragilariaceae indicative of browning since ∼1850.
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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 | 0.001 | 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".