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Record W4391915711 · doi:10.1016/j.cjcpc.2024.02.002

Arrhythmia as a Presenting Feature of Atypical Cardiac Rhabdomyoma in Children

2024· article· en· W4391915711 on OpenAlexaff
Biobelemoye Irabor, Aneal Khan, Michelle Noga, Kimberley Myers, Steven C. Greenway, Ali Fatehi Hassanabad

Bibliographic record

VenueCJC Pediatric and Congenital Heart Disease · 2024
Typearticle
Languageen
FieldMedicine
TopicTuberous Sclerosis Complex Research
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of CalgaryUniversity of AlbertaSembiosys Genetics (Canada)Alberta Children's Hospital
Fundersnot available
KeywordsTuberous sclerosisRhabdomyomaMedicineFeature (linguistics)Cardiac arrhythmiaPathologyInternal medicine

Abstract

fetched live from OpenAlex

The most common type of cardiac tumour found in children is a rhabdomyoma. These benign masses are commonly associated with the tuberous sclerosis complex (TSC), an autosomal dominant neurocutaneous disorder that affects multiple organs. We present two pediatric cases with an atypical location of cardiac rhabdomyoma associated with the unusual presenting feature of arrhythmia.

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)0.002
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
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.281
Teacher spread0.269 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCJC Pediatric and Congenital Heart DiseaseSame topicTuberous Sclerosis Complex ResearchFrench-language works237,207