Bibliographic record
Abstract
This Food and Nutrition Bulletin supplement summarizes updated prevalence data on micronutrient deficiencies in Latin America and the Caribbean (LAC). In order to provide an updated view of micronutrient status in LAC, systematic reviews were performed utilizing national health surveys and research-oriented studies focused on the prevalence of deficiencies of vitamin A, folate, anemia (as a proxy of iron deficiency), and zinc. Results show that the prevalence of vitamin A deficiency has been reduced in many countries, folate deficiency is now almost non-existent, low or marginal vitamin B12 status is still prevalent in most locations, anemia remains a public health problem among children under 6 years of age and women of childbearing age in most surveyed countries, and there is a high prevalence of zinc deficiency in children under 6 years of age and girls and women 12 to 49 years of age. Thus, regardless of improvements in the overall rates of economic growth in LAC, deficiencies of these micronutrients still remain a public health problem.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.121 | 0.082 |
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".