MétaCan
Menu
Back to cohort
Record W4403646122 · doi:10.1002/ppul.27354

Pulmonary arteriovenous malformation in children

2024· review· en· W4403646122 on OpenAlexaff
Anthony Lim, Félix Ratjen

Bibliographic record

VenuePediatric Pulmonology · 2024
Typereview
Languageen
FieldMedicine
TopicVascular Anomalies and Treatments
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoPublic Health Ontario
Fundersnot available
KeywordsMedicineAsymptomaticEmbolizationHypoxemiaTelangiectasiaArteriovenous malformationStroke (engine)RadiologySurgeryCardiology

Abstract

fetched live from OpenAlex

Pulmonary arteriovenous malformations (PAVMs) are rare abnormalities observed mainly in children with hereditary haemorrhagic telangiectasia (HHT). A majority of patients are asymptomatic at the time of detection. However, complications such as hypoxemia, stroke, cerebral abscess and massive hemoptysis can arise if larger PAVMs remain untreated. Larger PAVMs are usually managed successfully with embolization, although reperfusion of PAVMs have been reported post procedure. Early screening for PAVMs is recommended in asymptomatic children with HHT or those at risk for HHT. Longer term surveillance is also essential, to enable timely identification and management of PAVMs.

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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.019
GPT teacher head0.310
Teacher spread0.290 · 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
GenreReview

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

Citations4
Published2024
Admission routes1
Has abstractyes

Explore more

Same venuePediatric PulmonologySame topicVascular Anomalies and TreatmentsFrench-language works237,207