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Record W7126162823 · doi:10.1093/pch/pxaf099

Les préparations magistrales et les formulations pédiatriques au Canada : notions élémentaires pour les prescripteurs et appel à l’action auprès du gouvernement

2025· article· en· W7126162823 on OpenAlexaffabout
Charlotte Moore Hepburn, Catherine Litalien, Derek McCreath, Geert ‘t Jong

Bibliographic record

VenuePaediatrics & Child Health · 2025
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsAdministration (probate law)Research methodologyContext (archaeology)

Abstract

fetched live from OpenAlex

RÉSUMÉ La plupart des médicaments sont développés et fabriqués en fonction des besoins des adultes. Lorsqu’aucune formulation pharmacologique sur le marché ne répond aux besoins de l’enfant, il faut manipuler un médicament pour adulte afin d’en faciliter une administration sécuritaire et appropriée. Ce processus, qu’on appelle préparation magistrale, est pratique courante en pédiatrie. Les prescripteurs qui s’occupent d’enfants doivent être informés du recours aux préparations magistrales et des risques intrinsèques qui s’y associent. Parallèlement, il est urgent que Santé Canada, les organismes d’évaluation des technologies de la santé, les gestionnaires de listes provinciales et territoriales de médicaments admissibles et les fabricants de produits pharmaceutiques collaborent pour répondre aux enjeux complexes qui compromettent l’accès aux formulations commerciales adaptées aux enfants au Canada.

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)0.004
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.010
Scholarly communication0.0060.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.083
GPT teacher head0.395
Teacher spread0.312 · 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
Published2025
Admission routes2
Has abstractyes

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