Surface Lipid and Free Fatty Acids (FFA) Content of Head and Broken Rice Produced by Milling After Different Drying Treatments
Bibliographic record
Abstract
ABSTRACT The surface lipids and free fatty acids (FFA) content of head and broken rice samples generated through milling after various drying treatments were studied. Long grain cultivars Francis, Wells, and Cypress, and medium grain cultivar Bengal were dried under three air conditions (mild 25°C, 50% rh; moderate 45°C, 40% rh; and stressed 65°C, 20% rh) for two durations (10 and 30 min). Immediately after drying, the rough rice samples were placed in a conditioning chamber to continue drying slowly to ⋍12.5% moisture content (MC), which occurred within three to five days. After dehulling, a McGill No. 2 mill was used to mill the samples for 30 sec. The head rice yield (HRY) for all rice samples were within the range of 40–68%. Rice surface lipid was extracted with isopropanol (IPA) and the lipid and FFA content of the IPA extracts were determined. Broken rice kernels had significantly greater surface lipid and FFA content than head rice kernels. The surface FFA contents of broken kernels were within the range of 0.045–0.065% of broken rice mass, while that of head rice was 0.027–0.040%. Broken ricehad greater b values indicating greater yellow color than did head rice.
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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 | 0.000 |
| 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) | 0.001 | 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".