Fortified tortillas to influence the health of the population and contribute to the achievement of SDGs 2 and 3
Bibliographic record
Abstract
The tortilla-based diet has prevailed throughout history in Mexico. According to information from the National Household Income and Expenditure Survey, as of the third quarter of 2014, daily per capita consumption is 181 grams, that is, 66.1 kilograms per year. Its status as a basic food makes it unique to enrich it and thus help improve the nutritional status of the family. During the Nixtamalization process to obtain the corn dough, proteins are lost, in addition to the fact that the corn lacks lysine, ultimately obtaining a tortilla with 4.0/100g of tortilla (approximately 3 tortillas). By enriching the tortilla with mesquite flour (rich in lysine), we obtain a protein content of 6.3/100g; with the possibility of positively impacting the nutritional status of Mexicans and contributing to the achievement of SDGs 2 and 3.
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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 | 0.001 | 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".