Coherent Doppler profiler measurements of near-bed suspended sediment fluxes
Bibliographic record
Abstract
Vertical profiles of vertical turbulence intensity and vertical sediment fluxes were collected by an acoustic Coherent Doppler Profiler during two experiments: at Queensland Beach, NS and SandyDuck97. Measurements are investigated as a function of bedstate from low energy vortex ripples to high energy flat bed. Ensemble-average vertical turbulence intensity profiles exhibit a peak within the wave boundary layer at heights of O (1 cm) above bottom for all bedstates. Peak average turbulence intensities are relatively independent of bedstate, varying by no more than 50% despite a factor of 7–10 variation in average wave energy. This otherwise remarkable observation can be understood from the corresponding decrease in the physical roughness of the bed, associated with the different observed bedstates. Estimated wave friction factors are highest for low energy rippled beds and smallest for flat bed conditions. Estimates of the vertical suspended sediment flux partitioned into mean, wave, and turbulent components, show that in general, there is a balance between upward fluxes and downward settling; except immediately above the bed, and except for the case of a stationary ripple field. The suspended sediment flux coherence indicates enhancement at incident wave frequencies, with the largest coherence for flat bed conditions very near the bed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".