MétaCan
Menu
← Back to cohort
Record W2292972312 · doi:10.1093/pch/21.2.67

Case 1: A newborn infant with cardiac arrest

2016· article· en· W2292972312 on OpenAlexaff
Cecilia Herbozo, Paige Church

Bibliographic record

VenuePaediatrics & Child Health · 2016
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicinePediatrics

Abstract

fetched live from OpenAlex

A female term infant 40 h of age was found to be unresponsive, apneic and asystolic while being held by her father in the newborn nursery at the authors' hospital. She was born uneventfully to a nonconsanguineous Caucasian couple. Her birth weight was 2.6 kg and she was exclusively breastfed. Cardiopulmonary resuscitation was initiated immediately, in addition to epinephrine, fluids and sodium bicarbonate. Within 25 min, her heart rate was stabilized. Initial work-up revealed profound hypoglycemia (serum glucose 0 mmol/L; normal 2.5 mmol/L to 5.0 mmol/L) and lactic acidosis (serum lactate 8.8 mmol/L; normal <2.5 mmol/L). She responded to glucose boluses but required intake up to 13 mg/kg/min to maintain euglycemia. Physical examination on admission to the neonatal intensive care unit revealed a nondysmorphic infant who was obtunded, hypotonic and hyporeflexic. Pupils were dilated and sluggish. These findings were consistent with severe neonatal encephalopathy. She underwent 72 h of therapeutic hypothermia for neuroprotection. Clinical seizures were observed 12 h into hypothermia and controlled by phenobarbital. Hypotension was managed by dobutamine infusion. She remained on mechanical ventilation for 8 h and then extubated to continuous positive airway pressure for four days before being successfully weaned to room air.

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)0.006
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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0070.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.024
GPT teacher head0.273
Teacher spread0.249 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venuePaediatrics & Child Health→Same topicNeuroscience of respiration and sleep→French-language works237,207→