Bibliographic record
Abstract
A team of Cedarville engineering students took first place in the collegiate division of the 2000 Society of Automotive Engineers (SAE) Midwest SuperMileage Competition, held at the Eaton Proving Grounds in Marshall, Mich.Schools from the United States and Canada are provided a 3.5-Hp Briggs and Stratton lawnmower engine and challenged to design and build a one-person vehicle that will get super mileage.The teams are permitted to modify the engines; Cedarville's team used the cylinder, piston, and overhead-valve head from a Ryobi weed eater engine.They installed electronic ignition and a computer.Andy Yargo drove "Eklektos" to first-place by achieving 632.21 mpg, topping the performance of schools such as the University de Sherbrooke (Quebec, Canada) and the University of California at Berkeley.Cedarville had taken third place in 1995 by achieving 708 mpg.The 2001 team made some improvements, but on the third lap an engine bearing came loose, allowing the fly wheel to shift enough to shut down the electronic sensor that triggered the ignition.
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.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".