Determining the Number of Excavations Required to Confirm the Presence or Absence of SCC on a Pipeline Following an SCCDA Process
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
The pipeline industry has been managing the threat of Stress Corrosion Cracking (SCC) for several years using the methods developed by NACE SCCDA [1] (Stress Corrosion Cracking Direct Assessment) and ASME B31.8S [2] standards. SCCDA is a widely accepted tool for assessing the threat of Stress Corrosion Cracking in pipelines. The process utilizes data from direct examinations at excavations to validate the process as well as to address existing SCC anomalies, if found. However, neither the recommended practices nor the literature provide a usable and practical method for determining the number of excavations necessary for the excavation program based on observed results. To address this question, the Pipeline Research Council International (PRCI) sponsored a project to develop a statistically defendable procedure to determine the number of excavations which would be required to validate the SCCDA process and confirm either the presence or absence of SCC.
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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 | 0.001 |
| 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