Roasting's Effects on Proximate and Amino Acid Content of Maize
Bibliographic record
Abstract
The main objective of this research is to compare the amino acid and proximate compositions of raw and roasted maize samples. Complete randomized experimental design with triplicates replications was applied. From the analysis, we were able to obtain the following values: total carbohydrates (78.28-79.85 percent), crude protein (7.32-7.05 percent), crude fat (2.70-2.20 percent), crude fiber (2.40-2.10 percent) and ash (2.10-2.50 percent) for both raw and roasted maize seeds. Prolonged exposure to the heat from roasting altered the amino acid content as obtained from the result. The concentration of amino acids in the seeds was reduced by the heat effect. The highest concentration of leucine was contained in seeds, with a value of 1.30 g/16 g N and 0.95 g/16 g N in the case of the raw and roasted seeds, respectively. Lysine and tryptophan concentrations were low, but they contain equal quantities of amino acids containing sulphur, which are methionine and cystine.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".