Letters to the Editor
Bibliographic record
Abstract
To the Editor; We read with concern the Canadian Paediatric Society (CPS) position statement “Preventing ophthalmia neonatorum” (1). We are concerned it fails to adequately review the evidence regarding the efficacy of ocular prophylaxis and the risks posed by its cessation, while overstating the risks of its continuation. Regarding efficacy, the statement relies on a meta-analysis by Darling and McDonald (2), which is summarized as showing that evidence “regarding the efficacy of prophylactic agents used to prevent gonococcal and chlamydial conjunctivitis was not of high quality”. We are concerned this inadequately reflects the study’s findings. Darling and McDonald find that the lack of evidence is due to a lack of adequate statistical power related to low prevalence of maternal gonorrhoea. They note that it would be unethical to randomize newborns at risk to receive no prophylaxis because prophylaxis is generally regarded as being highly effective. In relation to chlamydial conjunctivitis, the statement argues that “ocular prophylaxis is not effective”, but Darling and McDonald find that “overall, these data suggest that prophylactic agents lead to some reduction in the risk of chlamydial conjunctivitis”.
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 | 0.005 | 0.056 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.018 | 0.015 |
| Insufficient payload (model declined to judge) | 0.042 | 0.026 |
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".