Sediment Discharge in Yukon River, Alaska : Its Continuous Measurement and Interpretation
Bibliographic record
Abstract
In order to clarify the mechanism of sediment discharge in Yukon River, Alaska, continuous measurements of turbidity and temperature of river water were performed at a site in the middle region of the drainage basin for a period of June to September 1998.Water turbidity recorded at a fixed point represents the crosssectional fluctuation of suspended sediment concentration (SSC) with an error of less than 20 mg/L, exhibiting a one-to-one correspondence between turbidity and SSe.A time series of sediment discharge, the product of sse and water discharge, was obtained using the turbidity record and water discharge data of U.S. Geological Survey.Sediment discharge of Yukon River seasonally varies with high water discharge and high SSC by snowmelt until early July and subsequently with relatively low water discharge and very high sse by glacier-melt and rainfall through early September.The snowmelt sediment discharge is probably due to fluvial entrainment of bank sediment in the upstream.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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".