Distribution of deoxynivalenol in Gibberella-infected food-grade corn kernels
Bibliographic record
Abstract
The objective of this study was to determine the distribution of deoxynivalenol (DON) in whole corn and milled corn fractions to provide management guidelines for corn producers and corn processors. Naturally contaminated, food grade corn from six commercial producers was cleaned on a commercial gravity table cleaner. Whole grain from the densest fraction produced by the gravity table was separated into germ, pericarp and endosperm fractions using a barley pearler. The DON level in the densest fraction was about 40% of the total DON in the original uncleaned grain. When the kernels were pearled, over 80% of the kernel weight was endosperm. The endosperm fraction contained 20% of the original DON. Approximately 25% of the DON was found in the germ portion of the kernel and 55% was retained in the pericarp. The concentration of DON in the endosperm fraction was one-eighth that of the original cleaned kernels. Key words: Fusarium, corn, kernel-fractions, deoxynivalenol, density
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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".