<i>A New Approach to Control of Anemia</i> in “At Risk” Infants and Children Around the World 2004 Ryley-Jeffs Memorial Lecture
Bibliographic record
Abstract
An estimated 60-80% of the world's population is affected by iron deficiency. It is the most common preventable nutritional deficiency in the world, despite global goals for its reduction. Young children are the highest risk group, particularly during their rapid period of growth. Anemia in infants and young children is known to have a negative impact on motor and socioemotional development and cognitive function. A new intervention, microencapsulated ferrous fumarate Sprinkles, has been developed to treat iron deficiency. The development process took the intervention from the idea stage to the research stage to the implementation stage. Multiple micronutrient Sprinkles are a breakthrough in meeting the global challenge to reduce childhood anemia due to iron and other micronutrient deficiencies. The goal of the Sprinkles project is to reduce the global burden of childhood anemia by promoting healthy weaning practices, by advocating home-fortification strategies to increase the micronutrient content of weaning foods, and by making Sprinkles widely available, particularly in developing countries.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".