STANDARD EOP-008-1 AND RETIREMENT OF ONE EXISTING RELIABILITY STANDARD EOP-008-0
Bibliographic record
Abstract
this filing providing notice of one revised Reliability Standard, and the retirement of one existing approved Reliability Standard. Specifically, NERC provides notice of revised Reliability Standard EOP-008-1 – Loss of Control Center Functionality contained in Exhibit A to this petition; as well as concurrent retirement of existing Reliability Standard EOP-008-0 – Loss of Control Center Functionality. The proposed revised Reliability Standard EOP-08-1 was approved by the NERC Board of Trustees on August 5, 2010. EOP-008-1 will be made effective in accordance with the effective date provision contained in the proposed Reliability Standard, which reads: Effective Date: The first day of the first calendar quarter twenty-four months after applicable regulatory approval. In those jurisdictions where no regulatory approval is required, the standard shall become effective on the first day of the first calendar quarter twenty-four months after Board of Trustees adoption. EOP-008-0 is to be retired concurrent with the implementation of EOP-008-1. NERC’s notice consists of the following: � This transmittal letter; � A table of contents for the entire Notice of Filing; � A narrative description providing justification of the proposed Reliability Standard; � Reliability Standard EOP-008-1 (Exhibit A);
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 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".