Diagnostic of overheating underground distribution cable joints
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
A great deal of power failures occur at cable joints in Hydro-Quebec's underground conduit network. Many failures are due to the degradation of the electrical connection inside these joints and the corresponding degradation of their electrical insulation. Hydro-Quebec started an infrared thermography program for underground cable joints. This program has been implemented to perform a predictive maintenance and withdraw the defective joints before failure. This program has very strict withdrawal criteria. Those criteria have until now no real scientific and experimental basis. Moreover, there are serious discussions as to whether a punctual measurement of the temperature of a cable joint can really represent the health state of its electrical connection. Also, for how long a temperature measurement is valid and therefore what should be the best frequency of temperature measurement? A computer program based on sound cable joint withdrawal criteria has been developed. It diagnoses defective cable joints by detecting signs of electrical connection degradation before their failure.
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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 | 0.000 |
| 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) | 0.001 | 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