Quasiturbine Rotary Engine Stator Confinement Profile Computation and Analysis
Bibliographic record
Abstract
Among the most frequent questions asked about the Quasiturbine QT are: Why is a central differential needed? And how is the stator confinement profile calculated? These are strategic elements reluctantly discussed by the inventors in the past 20 years. Many are convinced that computing the correct confinement profile of the Quasiturbine rotor is not simple task, and the purpose of this paper is to help understanding the matter and the underling characteristics. Unaware of the real difficulty, some are reporting elementary solution attempts, but missing ways to control their exactitude, they are so far neither reliable, nor precise enough. Quasiturbine confinement profile is discussed in a USA patent, and exact solutions are graphically presented as the Saint-Hilaire skating rink profile (named after the physicist who first made exact calculations) by analogy to well-known sport skating rink. As a first hint, notice that ellipses are not acceptable solutions, which are far from unique due to undetermined nature of the Quasiturbine rotor. Contrary to circular constraints of piston engine and conventional turbine, the asymmetrical multi degrees of freedom concept of the Quasiturbine offers a wide variety of underlying innovative design options, and working characteristics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".