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="section abstract"><div class="htmlview paragraph">Customers are demanding propulsion systems giving as much as possible riding pleasure while still considering strict environmental regulations. BRP-Powertrain developed an engine for their snowmobile brand Ski-Doo fulfilling both needs. The Inline two cylinder four stroke engine using a multi port fuel injection system significantly contributes to an impressive and up to now second-to-none cruising range of 29 miles per gallon.</div><div class="htmlview paragraph">With 42 kW at 7250 1/min the performance target was achieved. Excellent combustion stability allows Lambda values of 1.1 and higher in part load. This also contributes to the good fuel efficiency.</div><div class="htmlview paragraph">The geometrical layout of the engine was driven by vehicle boundaries. All the power pack components had to be installed using a minimum of space. A low center of gravity was an absolute need for stable riding properties of the snowmobile. Therefore the crankshaft was put as low as possible which left no room for an oil pan underneath the engine. This led to a dry sump oil circuit evacuating the crank chamber by a pump to an integrated oil tank. The rear engine contour is forming one wall of the tank, which is a unique feature. This detail shows the high grade of integration of components. The perfect cooperation of both frame designers and engine developers was supported by using a digital mock up at each stage of the development process.</div><div class="htmlview paragraph">Additional customer value is given by the possibility to start the engine down to minus 40 degree Celsius, maintenance free valve tappets and a nearly negligible oil consumption which was achieved by an optimized cylinder honing process.</div></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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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