Bibliographic record
Abstract
The Jiaojiang River estuary, China, is very turbid with depth-averaged suspended sediment concentration commonly exceeding 10 kg m 3 at spring tides. An asymmetry of the tidal currents is caused by shallow water effects. This asymmetry generates, at spring tides a turbidity maximum in the estuary near the salinity intrusion limit. The rates of erosion and deposition are controlled by the tidal currents and the constants in the equations for those rates were inferred from 12 days of data. A transient sediment layer forms at slack tide and is eroded at a threshold velocity of about 0.3-0.4 m s -1 which is about half the value of the erosion threshold velocity of the consolidated sediment underneath. The data were used to calibrate a sediment dynamics model which was successful at reproducing most of the observations at spring tides. The model suggests that the bulk of the sediment in the estuary is imported from coastal waters. This sediment originates from the Changjiang (Yangtze) River which is located 200 km further North. The Manning's bottom friction coefficient is found to be smaller (by 30%) than that in non-turbid estuaries and this may be due to the presence of a fluid-mud layer near the bottom.
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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) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.010 | 0.003 |
| Insufficient payload (model declined to judge) | 0.991 | 0.993 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".