Survey of Oil Water Separators and Drainage Design Aspects at Transformer Stations
Bibliographic record
Abstract
As part of an inquiry on drainage practices and oil water separators for transformer stations, various international guidelines were reviewed, as well as information on available commercial products. In addition, the authors contacted a number of Canadian, American and European specialists from utilities and/or their consultants. While the number of participants in this inquiry is, at present, limited, their comments are based on the broad experience of these specialists. As a result of the inquiry, it was found that oil water separators used in transformer stations are of several different general types. The inquiry also revealed that, with the different regulatory experiences and other site-specific conditions, there will always be differences in the strategies of the various utilities. It is also necessary to consider that utilities can use various competing commercial systems and that the state of the art of drainage technology is evolving rapidly. The international inquiry was useful in generating comments from some of the participants.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".