Bibliographic record
Abstract
White lupin (Lupinus albus L.), a winter legume crop with tremendous potential as a food crop, has been evaluated at Virginia State University for several years. This effort has developed several winter-hardy, high-yielding lines, which vary in alkaloid concentration in the seeds. Current study was conducted to characterize various component of lupin seed especially seed coat and cotyledon portion in seeds of five lupin lines (VSU-1, VSU-1X, VSU-5, VSU-10, and VSU-101). Five hundred seeds of each line were separated into seed coats and cotyledons to record relative proportions. Whole seeds, seed coats, and cotyledons were analyzed to determine concentrations of protein, fiber, fat, iron and zinc. Significant differences were observed among five lines for seed coat proportion, which varied from 22.6 to 25.6 percent. Proportions of protein (7.8, 41.6, and 34.3 percent), fiber (44.7, 1.0, and 12.2 percent), fat (1.3, 10.4, and 8.6 percent), and zinc (14.5, 61.9, and 50.8 percent) concentrations varied significantly for seed coats, cotyledons, and whole seed, respectively but not for iron concentration. Results of this study indicate that separation of seed coats from white lupin seed could be used to develop value-added products; to increase nutritional quality of white lupin seeds; and enhance white lupin’s suitability as a plant protein source.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".