Defect tolerance of solid dielectric transmission class cable
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Bibliographic record
Abstract
This paper addresses the issue of determining the level of defect that is likely to cause the failure of solid dielectric transmission class cables. It also proposes methods for predicting the level of defect that is likely to cause failure and to provide a simple analytic approximation for doing so in the case of conducting spheroids aligned with the electric field. A common assumption is that conducting particles > 100 μm in length are likely to cause failure of extruded dielectric transmission cable. This analysis suggests that when the effects of operation at elevated temperature are included in the analysis, this is probably an appropriate criterion with a sound technical basis. For maximum background fields in the range of 15 kV/mm, as presently seen near the conductor shield of some transmission class cables, a worst-case particle length in the range of 0.1 mm is likely to be required to cause failure for the worst-case local polymer morphology in the range of the maximum operating temperature.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.001 | 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 it