Errata: Water Main Break Rates in the USA and Canada: A Comprehensive Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Page 5 – Major Finding 6 (change also made in text on Page 18): Added “in the reported pipe inventory” to better clarify the percentage reduction Page 6 – Major Finding 14 (change also made in text on Page 31): Changed “six” to “five” years to explain the time elapsed between the 2018 and 2023 studies Page 7 – Major Finding 28 (change also made in text on Page 46): Added “percentage” to better clarify the percentage of acceptance Page 8 – Section 1.1: Updated “(WRF, 2017)” to “(Grigg, 2007)” and “(US Conference of Mayors, 2018)” to “(Anderson, 2018)” Page 25 – Figure 22: Added “in the basic survey” to the note Page 30 – Figure 29: Reversed the bars so that “12-months” appears before “Five Years” Page 44 – Section 7.0: Replaced “construction-related failure rate” with “construction-related failures” since “rate” was incorrect Page 51 – References: Updated “Water Research Foundation, “Asset Management: Breaks & Leaks,” 2017.” to “Grigg, N.S., “Main Break Prediction, Prevention, and Control,” Water Research Foundation, 2007.”
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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