Validation of EMAT In-Line Inspection Technology for SCC Management
Bibliographic record
Abstract
TransCanada has a need to manage sections of the pipeline that are susceptible to stress corrosion cracking (SCC) failure by periodically performing hydrostatic testing. Since hydrostatic testing requires a complete service interruption, In Line Inspection technologies (operating in gas pipelines without liquid couplant) are being investigated as an alternate method to managing this hazard. This requirement resulted in a joint technology and tool development project involving GE Energy and TransCanada. The EmatScan® Crack Detection (CD) tool is designed to detect and size longitudinally oriented external SCC features in gas-filled pipelines. During autumn 2002, the EmatScan® CD tool was run in a 64 km section of the TransCanada system. In 2003, field correlation excavations were conducted to assess the accuracy of the tool. This paper describes the results from the correlation program conducted to validate GE Energy’ 36 inch (914 mm) diameter EMAT (Electro Magnetic Acoustic Transducer) crack detection tool.
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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 | 0.002 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".