Soybean Seed Coats: A Source of Ingredients for Potential Human Health Benefits-A Review of the Literature
Bibliographic record
Abstract
Soybean seed coats are an underutilized byproduct from the commercial crushing of soybeans to make soymeal and soy oil. These seed coats constitute 7 to 10% of the weight of a bushel of soybeans so they provide a substantial opportunity to add value to each bushel. Overall, the United States produces approximately 6 million metric tons of seed coats each year. Biologically active compounds contained in soybean seed coats have been shown to prevent and or reduce macular degeneration, obesity, cancer, and many other debilitating diseases. For example the seed coats of YJ-100 black soybeans contain more than 20 mg/g of anthocyanins, the highest concentration of anthocyanins of all plants materials including other row crops. The purpose of this paper is to examine the chemical content of soybean seed coats, highlight opportunities to add value and discuss the potential health benefits of these chemicals.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".