Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In order to clarify the working mechanism of an air suction gun, yarn motion in the air suction gun was captured with a high-speed video camera, then characteristics of the yarn motion in the air suction gun and the geometrical effects on the yarn motion were investigated. A yarn moves forward with a high-speed rotation in a yarn propulsion tube, and performs a helical motion more regularly in a de Laval tube than in a straight tube. The motion path is different from the yarn posture. The yarn motion is unsteady and considerably affected by the friction from the tube wall, which causes a large reduction in the yarn circumferential velocity component vyc. The changes in the geometrical parameters mainly produce changes in vyc with a negligible effect on the yarn axial velocity component. vyc increases with an increase in the compressed-air inflow angle and with a decrease in the throat diameter of de Laval tube. An increase in the convergence angle of de Laval tube causes vyc to increase in the de Laval tube. Yarn motion is almost independent of the passage divergence angle of nozzle. It is mainly determined by the circumferential component of air velocity vac and bears less relationship to the axial one. Yarn suction force Fm is associated with various effects, and depends on vyc in particular. For achieving a high Fm, the swirl intensity of helical airflow, namely vac, needs to be controlled at an appropriate level because an increment of vac increases both air drag on the yarn and friction between the yarn and the tube wall.
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.
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 | 0.001 | 0.000 |
| 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 | 0.000 | 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 it