Inline Assessment of Transmission Pipelines in the Oil and Gas and Water Sectors
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
Pipelines are pressure vessels used to transport products from one location to another and as such their operation falls under the US Department of Transportation. In principle, the Office of Pipeline Safety (OPS) has oversight on all transmission pipelines; however, in practice, regulations only exist for oil and gas pipelines. Spurred on by several spectacular and deadly pipeline failures starting in the 30's, the industry is now fully regulated. Present regulations include both risk management as well as mandatory condition assessment in high-risk areas. There are presently no regulations pertaining to risk management, pipeline assessment or pipeline safety in the water sector. It is not clear whether the fact that water transmission pipelines seldom cross state boundaries or the perception of lower consequence failures for water mains means that the water sector shall remain largely unregulated. It is clear that just as there is a strong desire to operate petrochemical pipelines up to and beyond their design life, there is a similar drive for water pipelines. The replacement value of water pipelines in the US is estimated at over $700,000,000,000. Comparing and contrasting approaches to condition assessment and risk management in these two sectors will certainly strengthen the emerging best practices.
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 | 0.000 | 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