Sediment Flux and Fate in the Mississippi River Diversion at West Bay: Observation Study
Bibliographic record
Abstract
Land-building sediment diversions, such as the Mississippi River Diversion at West Bay, are being used as important building blocks in the conservation and restoration of Mississippi Delta wetlands. We have studied sediment deposition and retention in the West Bay diversion outfall area through analyses of sediment cores, bathymetry, and hydrodynamics. Cores and x-ray samples were collected at twenty stations in March 2004, August 2004, November 2005, and April 2006. Cores were sub-sampled in 2 cm increments and analyzed for grain size distributions and 7Be activities which can be linked to recent sediment deposition. Bathymetric surveys were conducted in November 2005 and April 2006 and will be used to compare significant elevation changes to bay bottom contours. Data analysis for the study focuses on the 7Be results in comparison with hydrodynamic forcing functions such as river and diversion flows and major storm activity.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".