<i>Infection and Anemia</i>In Canadian Aboriginal Infants
Bibliographic record
Abstract
The prevalence of anemia in Aboriginal children is high, but, given the high burden of infection in these children, the extent to which anemia is due to iron deficiency and/or infection is unclear. To determine the contribution of iron deficiency to anemia, we screened 144 Aboriginal infants (70 boys, 74 girls) who were free from infection. The prevalence of anemia (hemoglobin <105 g/L) was 18.8%; caregivers reported that 53.5% of infants had had an infection in the two weeks before screening. Anemic infants were more likely than non-anemic infants to have had an infection before screening (74.1% versus 48.7%, p = 0.02), and anemic infants had a higher prevalence of iron deficiency revealed by low serum iron concentrations (<7 micromol/L) (73.7% versus 38.3%, p <0.01). Iron deficiency measured using serum ferritin concentration tended to be less marked in infants who had had an infection (13% versus 30.3%, p = 0.06); this is probably because serum ferritin is a positive acute-phase protein. This study indicates the difficulty of isolating the contribution of infection to anemia from the separate effects of dietary iron deficiency.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".