Application of Tabular Methods to the Speciflcation and Veriflcation of a Nuclear Reactor Shutdown System
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
This paper describes the use of tabular methods at Ontario Power Generation Inc. (OPGI) 1 on the Darlington Nuclear Generating Station Shutdown System (SDS) Trip Computer Software Redesign Project. We flrst motivate the selection of tabular methods and provide an overview of the Systematic Design Veriflcation (SDV) procedure. After reviewing some preliminary concepts, the paper describes how the Software Engineering Standards and Methods (SESM) Tool suite is used with SRI's automated proof assistant, PVS, to provide tool support for the use of tabular methods in the software engineering process. Examples based upon the Systematic Design Veriflcation of an actual SDS subsystem are used to illustrate the beneflts and limitations of the current implementation of the formal method. Finally, the paper discusses related work, draws conclusions regarding the efiectiveness of the method and examines how its limitations can be addressed by further theoretical and applied work.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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