Determination of Folate Concentrations in Pulses by a Microbiological Method Employing Trienzyme Extraction
Bibliographic record
Abstract
Over the past two decades, the role of folate in human nutrition has been of much interest because of its relationship to diseases such as neural tube defects and heart disease. Since 1998, the U.S. Food and Drug Administration has mandated that cereal products be fortified with 140 microg of folic acid/100 g. It is important, therefore, to be able to determine accurately the folate concentrations in cereals and other grains to ensure proper dietary intake of folate. In this study, a microbiological method employing a trienzyme extraction procedure was applied to the analysis of folate in several starchy grain legumes (pulses). Differences in the folate content of dry bean were observed among some market classes but not between cultivars in the same market class. Location had a significant effect on the folate content of lentil and dry pea; cultivar did not. The significant effect of market class, cultivar, and growth environment on the levels of folate in pulses is of particular importance to pulse processors and pulse breeders.
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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".