Tales from the East Brampton 1,050 mm Transmission Feedermain Condition Assessment
Bibliographic record
Abstract
The Regional Municipality of Peel in Southern Ontario, Canada, has been performing condition assessments of their prestressed concrete cylinder pipe (PCCP) pipelines since the mid-2000s. Their system is vast, spanning three municipalities west of Toronto: the cities of Brampton and Mississauga and the town of Caledon. Proactively assessing their feedermain inventory is a critical component of their water pipeline management strategy. PCCP condition assessment programs are designed to ensure safe and reliable water service by establishing the rehabilitation requirements necessary to avoid watermain failures. Peel Region has prioritized their PCCP inventory using risk-based degradation modelling and are systematically assessing each feedermain. This paper presents the 2020 condition assessment of the East Brampton Feedermain, including the results of the inspection and the replacement and forensic investigation of one pipe determined through electromagnetic inspection to have both broken wire wraps and cylinder deterioration. The results of this condition assessment have allowed the Region to continue confidently utilizing this feedermain.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".