Kinematics and Internal Dynamics Formulations of the Canis Compressed Air Engine
Bibliographic record
Abstract
Prior to this paper some study was conducted that resulted to the conceptual design of the Canis Compressed Air Engine. This paper brings out the mathematical design of the Canis Compressed Air engine. It also highlights the study of the kinematic and internal dynamic formula. With the engine components movement likened to an eccentric circular cam, with a radial movement (Ri) and a normal movement component (Di) and a different (di), with the magnitude of the radial movement (Ri) and different (di) considered constant, respectively 4units and 1units, the mathematical formula describing the displacement, velocity and acceleration were verified. This verification, done graphically, ended up with the conclusion that this design of a compressed air engine, complies theoretically with the recommendations of accurate intake and exhaust positioning, smooth running and high efficiency due to absence of backlashing forces during intake. The theoretical internal dynamics analysis further proofs the susceptibility of a perfect intake then explosive expansion and a perfect exhaust for every expansion chamber.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".