L51841 Compendium of Pipeline Girth Weld ECA Methodologies to Support Revisions to Existing Code Practices
Bibliographic record
Abstract
Significant progress has been made since the mid-1980's in understanding the role of weld defects in pipeline integrity. Unfortunately, this new knowledge has not been incorporated into Appendix A. More significantly, new line pipe materials and welding processes since the mid-1980's have created conditions that were not anticipated in the original code, and that can lead to unsafe designs. This project was commissioned to produce a document to provide the technical basis for the revisions of Appendix A. The technical and historical background of several internationally recognized girth weld ECA (Engineering Critical Assessment) procedures are reviewed. Some recent developments in further refining the girth weld ECA procedures are described, with particular emphasis on the work funded by PRCI. These new developments lead to the recommended revisions to API 1104 Appendix A. The Canadian code, CSA Z662 Appendix K, is the process of adopting some of these developments.
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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 | 0.015 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.044 |
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".