Absaugvorrichtung und Vorrichtung enthaltend eine Absaugvorrichtung
Bibliographic record
Abstract
DE 19926084 A UPAB: 20010207 NOVELTY - The section tube enclosing the entire surface to be cleaned has gas ports along its inside circumference and is of a section such that the exhausted air is vorticized within the tube all over its section. The tube comes in prefered kidney section with inward indents as gas ports, the indents in turn angled inwards to form a center bend (66) and a fan (61) connects via openings (64) with the tube to the side of the center bend (66). The fan can be controled in rev count. The surface of the object (1) e.g. workpiece is blown with CO2 snow within a cleaning chamber. When using a sample table (1) this is elecrically heated and has a flat metal plate to take the object etc. The snow is blown in via first and second nozzles which bundle the snow in parallel, using a feed capillary for the first nozzle ringed by the second preferably Laval nozzle. USE - Suction cleaning, for use in optical, engineering or medical sectors. ADVANTAGE - CO2 snow is blown onto surface by a pair of nozzles and a ring tube with gas ports preventing re-condensation and with contained vorticizing effect to prevent pollution of ambient air.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.619 | 0.535 |
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".