Assessment of a time‐integrated fluvial suspended sediment sampler in a high arctic setting
Bibliographic record
Abstract
.Two versions of a fluvial sediment trap designed to collect integrated samples of ambient suspended sediment load were deployed in a small river at Cape Bounty, Melville Island, Nunavut in the Canadian High Arctic. Daily and bi‐daily sediment capture in the traps was broadly proportionate with suspended loads estimated directly from daily sediment flux measurements but showed highly variable trap capture rates. Grain size analysis showed that the median grain size (D50) of the captured material was significantly coarser than the ambient material, although the D50 of the two trap versions deployed was not significantly different. These results suggest that the traps did not consistently collect a representative mass or particle size sample in a river environment with highly variable conditions. This is explained by consideration of the hydraulic design of the traps and a highly dynamic stream environment. Hence, deployment of fluvial traps in small ephemeral Arctic rivers will require further testing and refinement of the hydraulic design.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".