Analysis of Pressure Test Failure Performance for Vintage Pipe
Bibliographic record
Abstract
Systemic manufacturing defects in select vintage pipe pose challenges when assessing the integrity of pipeline systems comprised of such pipe. The common manufacturing technology and quality control practices in place at the time of manufacturing left some vintage line pipe prone to imperfections which could remain even after passing pressure tests in the mill or after construction. The lack of complete and reliable manufacturing records for some vintage line pipe limits granularity and adds integrity assessment uncertainties. Up until 1984, the United States Department of Transportation (USDOT) Pipeline and Hazardous Materials Safety Administration (PHMSA) required operators to report incidents related to failed pressure tests for all pipelines at the time of installation. Performance with respect to the manufacturer and year of manufacture can therefore be extracted from these reported incidents. These performance records are essential when re-establishing the MAOP (or MOP) and confirming the fitness for service of older pipelines. The pressure test failure performance in the early incident records provides insight into pipeline integrity prioritization and mitigation activities for managing pipeline safety based on pipe manufacturer, production date and seam type.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".