Reynolds Stress Estimates in a Tidal Channel from Phase-Wrapped ADV Data
Bibliographic record
Abstract
Reynolds stress in a tidal channel was measured for a period of 11 days in July and August 2003. A 50 to 100 cm/s ebb tide jet issues from Corkum Channel into Lunenburg Bay on the Atlantic coast of Nova Scotia, Canada. An instrumented bottom pod was deployed in Corkum Channel on a sandy area in approximately 6 m mean water depth. We focus on measurements from two acoustic Doppler velocimeters: a SonTek ADVO and a Nortek Vector. The Vector displayed smooth transitions in 1-hour mean velocity and Reynolds stress. As expected, Reynolds stress magnitude was greatest during ebb tide. The ADVO velocity data were filtered to remove intermittent noise, apparently due to unexpected ambiguity velocity phase wraps. The unwrapping procedure improved estimates of mean streamwise velocity and Reynolds stress and reduced noise in the ADVO time series. The potential for bias in Reynolds stress estimates due to differential noise between acoustic Doppler velocimeter beams is considered.
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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 | 0.000 | 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) | 0.000 | 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".