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">Fuel efficiency and clean combustion engine versus high engine performance - which will increase up to factor 10 in the next 5 years - with less engine displacement are driving more complex engine control systems in today's and future vehicles. The challenge is not only to design a perfect engine, but also to incorporate the right semiconductors. Beside this demand on high sophisticated electronics the demand on cost reduction - especially for small cars - is one driving factor for a smart partitioning.</div> <div class="htmlview paragraph">Infineon offers sensors, microcontrollers and power semiconductors for today's engine management platforms and therefore owns the right technologies to manufacture those devices. This opens up the possibility to integrate more functionality in less devices as in today's partitioning or</div> <div class="htmlview paragraph"> <ul class="list disc"> <li class="list-item"><div class="htmlview paragraph">to define electronics to simplify complex control strategies and</div></li> <li class="list-item"><div class="htmlview paragraph">to optimize the performance of each device.</div></li> </ul> </div> <div class="htmlview paragraph">This paper gives an overview about semiconductors for current engine management systems and will present an outlook how smart partitioning satisfies the increasing demands on system performance and increased functionality but can reduce system costs, too.</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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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