Size and optical properties of dissolved organic matter in large boreal rivers during mixing: Implications for carbon transport and source discrimination
Bibliographic record
Abstract
The lower Athabasca River (LAR), Northern Alberta, Canada The functionality of dissolved organic matter (DOM) in natural waters largely depends upon its size and composition. Identifying the sources, associated properties and transport behavior of DOM is vital to understand its effects on downstream ecosystems. River mixing has great potential to alter DOM quality and transport, but the extent of these impacts is largely unknown in large boreal rivers. Inputs of DOM from tributaries served as a major source and shifted DOM quantity and quality in the LAR towards higher concentrations of dissolved organic carbon (DOC), and greater degrees of humification and aromaticity. Seasonal variations in DOM quality were observed during spring freshet, including elevated molecular mass (i.e., size), and proportions of protein-like components (i.e., tryptophan-like). The conservative and delayed mixing of DOM was apparent at three large confluences, and contrasting mixing patterns for different tributaries suggested that these patterns were governed by both hydrological conditions and river geomorphology. Results suggest that DOM may be generally useful as a conservative tracer at large confluences in boreal rivers, thus highlighting its potential importance as a tracer for source discrimination in mixing zones.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".