U.S. Department of Energy – Advanced Vehicle Testing Activity: Plug-in Hybrid Electric Vehicle Testing and Demonstration Activities
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
The U.S. Department of Energy’s Advanced Vehicle Testing Activity tests plug-in hybrid electric vehicles (PHEV) in closed track, dynamometer, and on-road testing environments. The purpose of this testing is to determine the potential of PHEV technology to reduce petroleum consumption. It also allows documentation of PHEV driving and charging profiles and electric charging infrastructure requirements. As of March 2009, the Advanced Vehicle Testing Activity has initiated testing on 12 PHEV models from aftermarket conversion companies and original equipment manufacturers. In addition to performing controlled dynamometer and on-road testing, AVTA has collected in-use data from 155 PHEVs operating in 23 U.S. states and Canadian provinces. This fleet has demonstrated an average increase in cumulative fuel economy of 22 to 55% when in charge depleting mode, as compared to charge sustaining mode. Charge depleting range has varied from 32 to 64 miles, depending on the vehicle and battery pack. In ideal conditions, some vehicles have achieved monthly fuel economy results of 80 to 120 miles per gallon through frequent charging and less aggressive driving styles.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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