Lauber and Hager's dam-break wave data for numerical model validation
Bibliographic record
Abstract
Lauber and Hager (1998) have provided a complete set of laboratory data, with both velocity and depth profiles for dam-break flood wave released from a reservoir of finite dimension. At the advancing wave front, the water depth reduces to zero and the velocity peaks. Friction is the dominant effect at the wave front. There is a linear decrease of the velocity from the peak at the wave front toward the back of the dam-break wave. The availability of this data set has provided the opportunity to validate numerical models. The dam-break flood wave is simulated herein using the One-Dimensional Saint-Venant (1DSV) model. A Lagrangian Blocks on Eulerian Mesh (LBEM) method is employed to carry out these calculations. The blocks as the computational elements in the LBEM method produce non-negative depths. Accurate 1DSV model simulation by the LBEM method is possible without the need of a frontal condition for the wet-and-dry interface across the wave front.
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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 | 0.002 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".