Modeling of Waves, Hydrodynamics and Sediment Transport for Protection of Wetlands at Braddock Bay, New York
Bibliographic record
Abstract
Abstract : This report describes a numerical modeling study of waves, currents, and sediment transport at Braddock Bay, New York, which are affecting the wetlands in this estuary. The wetlands have had damage by waves that penetrate deep into the bay from the Lake Ontario side. The purpose of this study was to investigate three proposed alternatives using different structural systems at the entrance of Braddock Bay to minimize the impacts of environmental forces on wetlands. Braddock Bay has had steady erosion and retreat of the shorelines outside and within the bay system in the last century. The bay complex in the present state has become fully exposed directly to the winds and waves from the lake side. The proposed structural alternatives at the bay entrance were evaluated on their ability to reduce potential impacts of waves and currents on wetlands. Study results indicated all three proposed alternatives were able to reduce waves, currents, and sediment transport substantially in the bay. The primary goal of the study was to develop a quantitative estimate of waves and flow in the bay for a relative comparison of the alternatives investigated.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".