Sources and ecological consequences of deposited and suspended sediments in small tributaries of the upper Elk River watershed, West Virginia
Bibliographic record
Abstract
Deposited and suspended sediments were sampled in small tributaries of the upper Elk River watershed to determine if differences exist in sediment transport and deposition based on land management activities of low disturbance, development, or timber harvesting. Brook trout (Salvelinus fontinalis ) were sampled to determine if a negative relationship existed between populations and deposited or suspended sediments. There were no significant relationships in deposited sediments among land use yet timber harvest and developed lands had significantly higher transported sediments than low disturbance lands. There were no significant relationships between brook trout populations and deposited sediments. However, a slight negative relationship did exist between increasing suspended sediments and adult brook trout. High gradients in study tributaries likely resulted in low deposition of sediments while land management activities likely contributed to increasing suspended sediments. Best management practices and the Forest Stewardship Program may help to reduce sediments disturbed by timber harvesting.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".