Bibliographic record
Abstract
Re: Hartfield D. Iron deficiency is a public health problem in Canadian infants and children. Paediatr Child Health 2010;15(6):347–50. To the Editor: I read, with great interest, the commentary by Dr Hartfield that was published in the July/August issue of Paediatrics & Child Health. I agree with the author that iron deficiency in infancy and childhood is an important public health problem. Therefore, it should be addressed at a national level using the best available evidence to date. I would like to bring to the readers' attention an important preventive strategy not mentioned in Dr Hartfield's article. Delayed cord clamping has been shown to improve the iron status in infancy. A systematic review of 11 trials involving nearly 3000 subjects (1) found higher ferritin levels at six months in the late clamping group. No significant side effects to the mother or the infant, other than increased risk of jaundice requiring phototherapy, were found. I believe that the current evidence supports the implementation of delayed cord clamping in clinical practice. It is an inexpensive and universally available intervention to improve the iron status of infants, particularly in groups at high risk of developing iron deficiency. Recently released neonatal resuscitation guidelines (2) also support this intervention for all newborn infants not requiring resuscitation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.040 | 0.023 |
| Insufficient payload (model declined to judge) | 0.015 | 0.012 |
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".