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Record W2620100476 · doi:10.1093/pch/pxx020

La prise en charge du croup à la salle d’urgence

2017· article· fr· W2620100476 on OpenAlexaff
Oliva Ortiz-Alvarez

Bibliographic record

VenuePaediatrics & Child Health · 2017
Typearticle
Languagefr
FieldMedicine
TopicOtolaryngology and Infectious Diseases
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsMedicineCroupHumanitiesGynecologyPediatricsArt

Abstract

fetched live from OpenAlex

Le croup est l’une des principales causes d’obstruction des voies respiratoires supérieures chez les jeunes enfants. Il se carac térise par l’apparition subite d’une toux aboyante, d’une raucité de la voix, d’un stridor inspiratoire et d’une détresse respiratoire attribuables à une inflammation des voies respiratoires supérieures découlant d’une infection virale. Selon les lignes directrices publiées sur le diagnostic et le traitement du croup, les stéroïdes devraient être le pilier du traitement de tous les enfants qui consultent à la salle d’urgence (SU) et présentent des symptômes du croup. La dexaméthasone, administrée par voie orale en dose unique de 0,6 mg/kg, est hautement efficace pour traiter les symptômes du croup. Malgré les données probantes qui appuient l’utilisation des stéroïdes comme pierre angulaire du traitement du croup, on constate d’importantes variations thérapeutiques chez les médecins qui traitent le croup à la SU. Le présent point de pratique porte sur la prise en charge du croup classique à la SU, en fonction des données probantes.

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)0.006
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
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 head0.011
GPT teacher head0.293
Teacher spread0.282 · 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
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
Published2017
Admission routes1
Has abstractyes

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