Developing an Inline Pipe Wall Screening Tool for Assessing and Managing Metallic Pipe
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
Recent developments in inspection techniques/technologies now make it possible to collect condition data for the entire length of pipeline that can then be evaluated with analytical and engineering techniques to provide a targeted strategy of repair, replacement and management. One specific research and development effort of inline screening technologies began with field trials as part of a 2008 EPA study on innovative condition assessment technologies for water mains. The initial phase of the development of pipe wall assessment (PWA) tools used acoustic pulse technology in qualitative manner to assess the wall strength of a pipeline by determining the change in hoop stiffness over short intervals. On a parallel path, a second PWA technology was developed that measures the change in the self-generated magnetic field produced by ferromagnetic materials in stress. This paper will discuss the development of both technologies.
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.
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 | 0.001 | 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 | 0.001 |
| 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