<i>The Iron Status of Canadian Adolescents and Adults:</i>Current Knowledge and Practical Implications
Bibliographic record
Abstract
OVERVIEW: Iron is an essential nutrient, playing a central role in oxygen transport and cellular energy metabolism. The importance of ensuring adequate bioavailable dietary iron stems from the severe consequences associated with iron deficiency (ID) and anemia, including reduced immune function and resistance to infection, developmental delays and irreversible cognitive deficits in young children, impaired physical work performance, and adverse pregnancy outcomes. SPECIFIC POPULATIONS: Poor dietary iron intake and ID exist in Canada, particularly in women of reproductive age. Data from the provincial nutrition surveys suggest that the prevalence of inadequate iron intakes (and low intakes of absorbable iron) among women under 50 years of age is over 10%, which may reflect poor iron status. Teenage girls are at risk for low iron stores because of the adolescent growth spurt and the onset of menstruation; those who are vegetarian are at even greater risk. CONCLUSIONS: The Canadian diet has changed so that grain products are now the main source of dietary iron for all age groups. The public must be educated to ensure the consumption of adequate quantities of bioavailable iron and enhancing factors such as vitamin C. Industry, government, and health professionals must work together to promote healthy eating patterns and the selection of appropriate foods.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".