Monthly Flash Estimates of Electric Power Data Section 1. Commentary Data for:
Bibliographic record
Abstract
During March 2007, the contiguous U.S. experienced the second warmest March over the 1895-2007 time period. Heating degree days were 15.7 percent lower than normal, as measured over the 1971-2000 time period, and 16.7 percent lower than March 2006. Despite the unseasonably warm March, retail sales of electricity increased 0.8 percent compared to March 2006, while March 2007 generation of electric power increased 0.9 percent over March 2006. These increases were primarily due to economic growth, evident by a 2.1-percent increase in the real gross domestic product for the U.S. in the first quarter of 2007 over the first quarter of 2006. The average U.S. retail price of electricity for March 2007 showed a 5.0-percent increase from March 2006. For the twelve month period ending March 2007, the U.S. average retail price increased by 7.2 percent over the previous twelve month period ending March 2006. Electricity generation in March 2007 from all major fuel categories saw little change from March 2006. The exception was petroleum liquids which increased 79.3 percent, as petroleum liquid-fired generators drew on reserves that were purchased at lower prices than current petroleum liquid prices. Coal generation in March 2007 decreased 0.9 percent from the previous year, natural gas generation increased 4.4 percent, nuclear generation increased 0.9 percent, and hydroelectric generation was down 2.2 percent from the prior year. In the electric power sector, March 2007 coal stocks were up 5.9 percent from February 2007. The February 2007-to-
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.200 | 0.137 |
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 source (direct Gemma or distilled Codex), 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".