Bibliographic record
Abstract
this filing in accordance with Section 215(d)(1) of the Federal Power Act (“FPA”) and Part 39.5 of the Federal Energy Regulatory Commission’s (“FERC ” or the “Commission”) regulations, seeking approval for one revised Reliability Standard, and the retirement of one existing approved Reliability Standard. Specifically, NERC seeks FERC’s approval of revised Reliability Standard EOP-008-1 – Loss of Control Center Functionality contained in Exhibit A to this petition; as well as approval to concurrently retire 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. NERC requests that EOP-008-1 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 proposed to be retired concurrent with the implementation of EOP-008-1. NERC’s petition consists of the following: • This transmittal letter; • A table of contents for the entire petition; • A narrative description explaining how the proposed Reliability Standard meets FERC’s requirements; • Reliability Standard EOP-008-1 submitted for approval (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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.611 | 0.538 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".