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 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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".