Study of the Quality of Barley Cleaning with Indented Cylinder from Grain Impurities
Bibliographic record
Abstract
Results of the study on the separation of crushed barley grains from the grain mixture along the length of the cell surface of indented cylinder, depending on the initial impurity concentration (Zi), the speed mode of the indented cylinder (n) and the lifting angle of the upper edge of the front wall of the output tray (γn) relative to the horizon, are presented. The theoretical steadily decreasing trend in the intensity of the impurity component separation has been experimentally confirmed. The fact that crushed barley grains are a difficult-to-separate impurity has been established. When n increases, the intensity of impurity separation increases dramatically. The γn angle increases the dependence of the process dynamics on the speed mode. At γn =55°, the increase of n from 40 to 50 rpm increases the intensity of impurity separation from the grain mixture by 6.44 times. A decrease in the value of γn and an increase in the speed mode of operation lead to an increase in process losses. An increase in the initial contamination of the grain mixture under other equal operating conditions of the indented cylinder leads to a proportional increase in its residual contamination.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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".