Bibliographic record
Abstract
Full‐term healthy breast‐fed infants in Newfoundland Canada have previously been shown to benefit from iron supplements early in infancy by increasing developmental motor scores (Friel et al., J. Pediatrics, 2003). To test this hypothesis in another Canadian province, 82 infants in Manitoba were randomized to receive 7.5 mg of supplemental iron as ferrous sulphate (I) or placebo (P) once a day from 1 to 6 months of age. All infants were breast‐fed at one month of age and were encouraged to continue exclusive breast‐feeding to 6 months before introducing solid foods. Blood samples were collected by venipuncture at 4 and 12 months of age. Anthropometric and demographic data was collected at 1, 4, 6 and 12 months of age when a Bayley Developmental assessment was conducted. Although P infants weighed more at birth (P: 3.63 ± 0.4 vs. I: 3.42 ± 0.5 kg P<0.05) this difference did not persist after one month of age. At 4 months ferritin (I: 110 ± 91 vs. P: 75 ± 48) was higher and transferrin receptors (I: 20 ± 4.4 vs. P: 22 ± 6) were lower in the iron‐supplemented group. At 4 months GPx was higher (I: 10.7 ± 3 vs. P: 9.3 ± 2) which did not persist to 12 months. Bayley MDI (P: 99 ± 9 vs. I: 97 ± 10) and PDI (P: 91 ± 14 vs. I: 92 ± 14) did not differ. These results suggest that full‐term healthy breast fed infants from an advantaged population will increase iron stores when given iron supplements with no adverse effects on growth but gain no advantage for developmental outcome at one year. Supported by CIHR and MICH.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".