MétaCan
Menu
Back to cohort
Record W1989673514 · doi:10.1177/0148607110383430

Hypersensitivity Reaction to Parenteral Nutrition in an Intrauterine Growth‐Restricted Newborn

2011· article· en· W1989673514 on OpenAlexaff
Corentin Babakissa, Chantal Lemire, Geneviève Beaulieu, Emanuela Ferretti

Bibliographic record

VenueJournal of Parenteral and Enteral Nutrition · 2011
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsUniversity of OttawaUniversité de Sherbrooke
Fundersnot available
KeywordsParenteral nutritionMedicineIntrauterine growth restrictionAnaphylaxisPediatricsHypersensitivity reactionObstetricsIntensive care medicinePregnancyInternal medicineFetusAllergyImmunology

Abstract

fetched live from OpenAlex

Hypersensitivity reaction to parenteral nutrition (PN) in infants is a rare condition, especially in the neonatal period. The authors report the case of a neonate with intrauterine growth restriction (IUGR) who presented symptoms of anaphylaxis while receiving standard PN. Given the very common practice of neonatal PN use, especially in newborns with IUGR, clinicians should be alerted about possible acute reactions to this useful therapy.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.297
Teacher spread0.252 · 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

Citations9
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Parenteral and Enteral NutritionSame topicFood Allergy and Anaphylaxis ResearchFrench-language works237,207