Reconfirming the Integrity of a Gas Transmission Pipeline Following an SCC Induced Incident
Bibliographic record
Abstract
Abstract A 168-km (104 mi.) in-line inspection was performed on a NPS 36 in. natural gas pipeline near Edson, Alberta, Canada, which experienced a stress corrosion cracking (SCC) incident on August 8th, 1998. A liquid coupled ultrasonic crack detection ILI (in-line inspection) tool† was selected for its ability to accurately identify and size crack-like defects in pipelines1. The in-line inspection required the construction of new facilities to facilitate the in-line inspection. The in-line inspection was completed on June 22, 1999, from mainline valves 1025 to 1020. Following the analysis of the tool data, features were investigated. The ILI inspection allowed TCPL to expeditiously repair the line. Good correlation was found between the tool predictions and field measurements. Following the excavation and repair of all predicted SCC features in the section deeper than 1 mm, the line returned to full service in April, 2000.
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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 | 0.001 | 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) | 0.001 | 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 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".