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 Canadian pipeline design standard (CSA Z662) requires the repair of smooth dents with depths exceeding 6% of the pipeline’s outside diameter. This limit on dent depth is reduced in the presence of additional localized effects such as pipe wall gouges, corrosion, planar flaws or weld seams. It has been noted, however, that pipelines have operated satisfactorily with dents in excess of 10% while others with 3% dents have failed. Based upon observation of this type the question arises, “Is there more to characterizing a dent than its depth?” An ongoing group sponsored project at BMT Fleet Technology Limited (FTL) is exploring the issue of dent characterization using a dent assessment model developed at FTL. The objective of this project is to develop a rapid dent life expectancy characterization technique based upon dent geometry, line pressure history and line pipe material properties. This paper will outline the general characterization approach being considered and demonstrate some of the observed and expected relationships between service life and dent geometry. The relative importance of each dent characteristic (geometric measures, line pipe material and line pressure history) will be discussed to demonstrate the potential of the rapid characterization approach being developed.
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.
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 | 0.000 |
| 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) | 0.004 | 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