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
This article discusses the use of fuel cell-powered vehicles that aim to change the face of transportation. These fuel cell-powered vehicles are expected to have a significant impact on reducing both the emissions implicated in global climate change and those that cause local smog. Fuel cells electrochemically oxidize a fuel without burning, thereby avoiding the inefficiencies and pollution associated with the traditional combustion technologies. The U.S. Department of Energy is working with researchers at the University of Waterloo in Ontario and elsewhere to develop non-precious materials to replace the platinum catalysts in fuel cells. European scientists have developed a material for converting hydrogen and oxygen to water that uses only 10% of the amount of platinum that is normally required. The researchers discovered that the efficiency of the nanometer-sized catalyst particles is greatly influenced by their geometric shape and atomic structure. Mechanical engineers play a crucial role in the development of both fuel cell and hydrogen production technologies.
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) | 0.000 | 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 it