Bibliographic record
Abstract
The objective of this project is to study the impact of testing voltages for holiday detection on the long term integrity of FBE coatings. It is designed to determine the optimum testing voltage for locating holidays on FBE coated pipelines without causing damage to the coating, and also to establish an optimal grounding procedure for holiday detection. To achieve the set goals of this project, the work plan was designed to include both laboratory and field testing components. The coupons used for laboratory evaluation in this study were made from Grade X70, 36� OD X 0.465� WT pipeline with a 16 mil single layer FBE coating. Test voltages ranged from 2.8 kV to 7.1 kV in an attempt to establish an upper cut-off voltage limit above which the coating will be damaged. Temperatures of 20 �C and 40 �C, and relative humidity of 25%, 55% and 95% were tested. Temperatures of 0 �C and -20 �C were also tested to simulate cold climatic conditions. One pinhole holiday size of 790 �m (0.031�) diameter was selected to be milled on all the prepared coupons.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.006 |
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".