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Bibliographic record
Abstract
SUMMARY: The Federal Energy Regulatory Commission (Commission) amends its regulations to change the process for filing Electric Quarterly Reports (EQR). Due to technology changes that will render the current filing process outmoded, ineffective, and unsustainable, the Commission will discontinue the use of Commission-distributed software to file an EQR. Instead, the Commission adopts a web-based approach to filing EQRs that will allow a public or non-public utility to file an EQR directly through the Commission’s website, either through a web interface or by submitting an Extensible Mark-Up Language-formatted file. By adopting a process with two options for filing EQRs, the Commission seeks to provide the flexibility needed to accommodate a public or non-public utility’s technical preference. The Commission also requires a public or non-public utility to identify itself with a company identification number rather than the existing software-based EQR identifier. The changes to the process for filing EQRs will apply to EQR filings beginning with the third quarter 2013 EQR, which will provide data for July through September 2013. Docket No. RM12-3-000- 2-EFFECTIVE DATE: This rule will become effective [insert date 120 days after
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 | 0.000 | 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) | 0.000 | 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".