Essential Elements of an Effective SCC Direct Assessment Program
Bibliographic record
Abstract
Stress Corrosion Cracking (SCC) Direct Assessment in accordance with the guidance set out in NACE SP0204 is an accepted method for assessing the threat of SCC in High Consequence Areas in the US, as prescribed for gas transmission pipelines by CFR 192 Sub-part O. Although operators have used excavations as part of their integrity management strategies for SCC for many years, the formalized method for gathering, interpretation and application of information that is set out in NACE SP0204 has only been applied for less than ten years. During a recent Joint Industry Project involving eight major North American natural gas transmission operators, the current status and application of SCC Direct Assessment has been reviewed. Several of these operators have developed in-house procedures incorporating the relevant guidance from NACE, CEPA and ASME, and over 160 SCC Direct Assessment excavations in accordance with the requirements of NACE SP0204 have been undertaken during the last five years. This paper reviews the development of the procedures, their in-field application and the use of the interpreted data to further refine the SCC Direct Assessment processes.
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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 | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".