MétaCan
Menu
Back to cohort
Record W4249111420 · doi:10.1093/pch/20.7.387-a

The author responds

2015· article· en· W4249111420 on OpenAlexaffabout
Dorothy Moore, Noni E. MacDonald

Bibliographic record

VenuePaediatrics & Child Health · 2015
Typearticle
Languageen
FieldMedicine
TopicOcular Infections and Treatments
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsMedicineComputer science

Abstract

fetched live from OpenAlex

Drs Mulholland and Gardiner express concern about the Canadian Paediatric Society (CPS) position on the prevention of neonatal ophthalmia, which advocates for discontinuation of mandatory ocular prophylaxis (1). Whenever a preventive measure is recommended, the potential risks and benefits must be assessed carefully, as such measures are predominately directed at those who are healthy. The vast majority of neonates born in Canada are not at risk for ophthalmia neonatorum (ON). Hence prophylaxis must show very strong benefit and minimal risk within the context of care options to be acceptable. An important point that the authors do not mention is that in Canada at present, the only option for ocular prophylaxis is erythromycin ointment. Regarding the efficacy of ocular prophylaxis, Darling and McDonald concluded that while it appears that prophylaxis does reduce the risk of gonococcal ON (GON) and chlamydia ON (CON), all agents have significant failure rates (2). While these failure rates may have been acceptable in the pre-antibiotic era, when there was no option for treatment, today we have options that, based on the efficacy of screening and treatment, are expected to be more effective. Erythromycin failures with GON were demonstrated even in the era when gonococci were susceptible, and efficacy against CON is questionable (3–6). The evidence of benefit of erythromycin prophylaxis today is not strong.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.124
Threshold uncertainty score0.413

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0140.012
Insufficient payload (model declined to judge)0.1240.069

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.

Opus teacher head0.033
GPT teacher head0.337
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations0
Published2015
Admission routes2
Has abstractyes

Explore more

Same venuePaediatrics & Child HealthSame topicOcular Infections and TreatmentsFrench-language works237,207