The Remediation of Buckeye Lake Dam, Ohio: Deep Mixing as an Interim Risk Reduction Measure and Key Component of Final Design
Bibliographic record
Abstract
Rehabilitation of Buckeye Lake Dam in central Ohio presented significant logistical and technical challenges given the history of the site, limited access and the proximity of private residences to the work. Covering almost 200 years, Buckeye Lake has a rich and varied history of industry and recreation. Presently a State Park administered under the Ohio Department of Natural Resources, the seepage, stability and hydraulic performance of the existing embankment dam was deemed unacceptable necessitating rehabilitation of the structure. Flanked by private residential and commercial properties at the downstream dam crest, construction of the new seepage barrier and new dam necessitated selection of appropriate construction methods and close coordination with the public. After presenting a brief history of the site, this paper focuses primarily on the different deep soil mixing methods utilized to construct the seepage barrier as well as the use of additional deep soil mixing downstream of the seepage barrier to construct a composite gravity dam structure.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".