Bibliographic record
Abstract
ABSTRACT Background : Preschool years are characterized by striking changes in the physical development, language, cognitive and social behavior. Nutritional anthropometry is widely used for the assessment of the nutritional status of preschool children. Subjects : One hundred and twenty eight children (in the age group of 2-6 years) were recruited for this cross sectional study. We evaluated the underweight, wasting and stunting prevalence among this cohort using Z-Scores as compared to reference population. The middle upper arm circumference and body mass index (BMI) percentile were also evaluated. Results: Indicators of under nutrition were as follow; underweight (3.9%), wasting (3.1%), and stunting (2.3%) among the sampled preschool children. Conclusion: Stunting was the lowest among the examined preschool children. Overweight and obesity were not detected among the studied population. Conclusion : A nutrition intervention program should be developed and directed to this vulnerable group, preschool children, to combat these nutritional problems that might predispose children to under nutrition during adulthood.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".