Global curvature characteristics analysis of offset ZI worm drive
Bibliographic record
Abstract
A new contacting performance index, the global induced principal curvature (GIPC), is put forward in this paper, along with its calculation method. This new index can be used to analyze the global curvature characteristics within the conjugating region of the gearing, so that the contacting performance of the gearing can be understood. A novel type of gearing named offset ZI worm drive is laid out. The calculation method of this new index is applied to this novel type of gearing. The GIPC of this new gearing is calculated by the numerical method and verified by the analytical method; the global curvature characteristics are analyzed. The numerical results show that the absolute value of the GIPC of the e-flank is 52.2384% smaller than the i-flank, which indicates the contact stress level of the e-flank is lower than the i-flank. The maximum of the relative errors for the GIPC between the numerical method and the analytical method is −3.0380e-11%. The accuracy of the numerical method is high.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".