Evolution of Ripple Field Architecture during Sediment Transport, as Measured by CT Scanning
Bibliographic record
Abstract
Despite the advent of ever more sophisticated technologies, the study of sediment transport remains highly relevant. Ongoing climate change adds urgency to the need to understand phenomena governing sediment transport. During sediment movement, the architecture of the sediment bed evolves This chapter focuses on the fundamental processes involved in sediment transport and aims to define and characterize the evolution of the water-sediment mixture in a migrating sand ripple field under a stationary flow regime, from the flow surface to the base of the sediment bed. In an experimental sediment flume with attached computed tomography (CT)-scanner, the sediment density of a ripple field was studied at different phases of its architectural evolution using three-and four-dimensional X-ray scanning, under several flow regimes and with different grain sizes. This approach yielded a detailed understanding of the parameters involved in transport of sand-grade sediment.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".