Assessing hydraulic conductivities of a compacted dam core using geostatistical analysis of construction control data
Bibliographic record
Abstract
The surveillance of a 94.5 m high embankment dam in northern Quebec, Canada, revealed the possibility of the existence of a zone of higher hydraulic conductivity in its till core. The spatial continuity of the measured fines content in the dam during construction was computed by geostatistical means to predict values at unsampled locations for the entire core volume. The hydraulic conductivities were inferred using the predicted fines content and in situ compaction conditions. The inferred hydraulic conductivities and their spatial representations were supported by thermal and seepage field monitoring data. This provided the necessary background information to interpret the surveillance data and determine the cause of the presence of a more pervious zone in the core, which was related to spatial variability of the fines content of the till, placement water content, and compaction procedures. The geostatistical approach complemented with laboratory and construction control data is an efficient tool to characterize dam heterogeneities permitting location of zones of more intensive seepage.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".