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Record W1861932861 · doi:10.1093/pch/15.9.571

Baby boy blue – why is this newborn lethargic?

2010· article· en· W1861932861 on OpenAlexaffabout
Michael Rieder, Gideon Koren

Bibliographic record

VenuePaediatrics & Child Health · 2010
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsSickKids FoundationHospital for Sick ChildrenChildren's Hospital of Western OntarioUniversity of Toronto
Fundersnot available
KeywordsMedicinePediatrics

Abstract

fetched live from OpenAlex

A one-week-old boy was seen in the emergency department with a two-day history of poor feeding and increasing lethargy. He was born at term after an uneventful pregnancy by repeat caesarean section. His birth weight was 3.2 kg. The patient's Apgar scores were 8 and 9, and he was discharged home on day 3 with exclusive breastfeeding. He has two older siblings: a five-year-old sister born in the mother's homeland of Sri Lanka, and a three-year-old brother born in Canada by caesarean section because of failure to progress. Both siblings and the parents are in good health, and there was no significant family history. On examination, the baby was a term male infant, afebrile with a blood pressure of 75/45 mmHg, heart rate of 120 beats/min and shallow respirations with a rate of 16 breaths/min. He did not respond well to stimuli and had a poor suck. His physical examination was otherwise unremarkable.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.051
GPT teacher head0.396
Teacher spread0.345 · 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 designCase report
Domainnot available
GenreEmpirical

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

Citations1
Published2010
Admission routes2
Has abstractyes

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