Interdependent infrastructure modelling: Intergration of domestic water models
Bibliographic record
Abstract
In order to assess the viability of using EPAnet source code and the time domain Infrastructure Interdependencies Simulator (I2Sim) for predictive modeling, a critical failure of a municipal water supply was modeled on a university campus. During winter operations, a campus steam plant experienced a failure in operations due in part from an unobserved anomaly in the municipal water supply. The subsequent explosion which disabled campus heating caused building closures and nearly resulted in an evacuation of a major hospital. The representation of the campus municipal water distribution system was built with external stresses applied to produce system conditions equivalent to those during the failure. The data was imported directly into a test model simulating interdependent systems to see if the complete failure could then be simulated. Preliminary results have effectively recreated the incident with only some temporal errors. The results of the exercise have provided insight into operational limitations, appropriate mitigation response and water system redesign to improve its reliability.
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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) | 0.000 | 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".