Evaluation of Laboratory Mills for Milling Small Samples of Rice. Applied Engineering in Agriculture
Bibliographic record
Abstract
in terms of milling performance in comparison with a McGill No. 2 Mill. Degree of milling (DOM), evaluated in terms of percent bran removal (the percentage of weight lost during milling) from brown rice, and whole kernel yield (WKY) were compared using sample lots of medium – and long–grain rice at 12 and 15 % m.c. (wet basis). The milling effect of each mill on the shape and size of kernels was compared and analyzed using a Satake image analysis system and a video microscope. Degree of milling and WKY versus milling duration curves were determined for the three mills. The removal of bran as the milling duration increased resulted in a linear reduction of WKY for each mill, although the relationship varied for each mill. The type of mill, moisture content of the samples, and milling duration affected WKY. The type of mill and milling duration affected the shape and dimensions of the milled rice kernels. Overall, the IRRI Test Tube Mill performed better than the Kett Polisher and was comparable to the McGill No. 2 Mill.
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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 | 0.000 |
| 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) | 0.000 | 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".