Temporal and Spatial Scaling of Instantaneous Residential Water Demand for Network Analysis
Why this work is in the frame
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Bibliographic record
Abstract
The paper presented a stochastic model that simulates time-averaged water demands at network nodes in a skeletonized water distribution system. The model comprises analytical expressions that scale the statistical moments of water pulse data to higher time and space resolutions. The new model was tested against simulated water demand data generated with the PRPsym. The preliminary results indicate that the model accurately scales the mean and variance of time-averaged nodal demand at time steps that range from 30 min to 2 h. Increasing the number of single-family homes connected to a network node does not introduce errors in the mean and variance of time-averaged nodal demand. Numerical testing indicated that time-averaged nodal demands are normally distributed when more than 100 single-family residences are connected to a network node. More data and analysis is needed to confirm these preliminary findings.
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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 it