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
<div class="htmlview paragraph">The highly competitive aerospace industry demands the continuous improvement of aircraft propulsion engines and timely response to new and changing requirements for them. Turbofan engines are a relatively mature and sophisticated technology. Improving significantly the performance and weight by using conventional designs in mature technologies becomes costly, opposing the market needs for more affordable solutions. The introduction of the More Electric Gas Turbine Engine concept has been proposed as a way to attain significant improvements of the turbofan engine and aircraft in answer to the new and changing requirements. The More Electric Gas Turbine Engine concept as adapted to the specifics of small turbofans is explained. Implications and advantages of the concept for both engine and aircraft are considered. The proposed and the currently employed technologies are compared. An outline of the work completed at Pratt &amp; Whitney Canada on the demonstration of the More Electric Gas Turbine Engine concept and the technologies developed/required is described. The reliability of the More Electric technologies is investigated and the potential certification requirements discussed.</div>
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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