Predicting the Remaining Life of Asbestos Cement Pipe with Acoustic Wall Thickness Testing
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
Introduced as a building material in the mid-1900s, asbestos cement pipe makes up approximately 18% of all water mains in North America. Although its use declined in the 1980s after health concerns began to arise, a large amount of asbestos cement water pipe remains in service in many municipalities. While many have chosen to remove all asbestos cement mains from service, the combination of budget constraints and the complexity of its removal means the remaining pipes must be systematically prioritized. Remaining service life calculations based on the physical condition of the pipe are of significant value in this prioritization process. Prediction of pipe failure involves three core components: assessing the main's current physical condition, predicting how the condition will change, and determining the condition in which it will fail. This paper presents a simple yet effective method specific to asbestos cement pipe, with a focus on structural failure of the pipe wall.
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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 | 0.001 |
| 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