WARP - water mains renewal planner
Bibliographic record
Abstract
this paper is published in / Une version de ce document se trouve dans : Proceedings of the International Conference on Underground Infrastructure Research, Kitchener, Ontario, June 11-13, 2001, pp. 1-6 www.nrc.ca/irc/ircpubs NRCC-44680 1# INRODUCTION The effective planning of water distribution system renewal requires accurate quantification of the structural deterioration of water mains. As water distribution systems comprise hundreds and even thousands of buried pipes, direct inspection of all of them is often prohibitively expensive. Identifying water main breakage patterns over time is an effective and inexpensive alternative to measuring the structural deterioration of a water distribution system. WARP is a prototype application under development at the National Research Council of Canada. In its current form as a prototype it is being developed as a MS-Excel application (later to be converted to a dedicated program). It is intended to demonstrate how the most promising breakage analysis models can be brought together to form a decision support tool. Currently, WARP consists of three modules: (a) analysis of water main breakage patterns, (b) short-term operational forecasting and (c) long-term renewal planning. A fourth module will be added to facilitate prioritisation of individual water mains for renewal
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".