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Record W2005942573 · doi:10.1002/ajmg.a.36622

Somatic mosaicism for the p.His1047Arg mutation in <i>PIK3CA</i> in a girl with mesenteric lipomatosis

2014· article· en· W2005942573 on OpenAlexafffund
Ana S.A. Cohen, Katelin N. Townsend, Qing‐San Xiang, Raj Attariwala, Christof Borchers, Christof Senger, Wayne Picker, Jasna Levi, Lila Yewchuk, Joelle Tan, Patrice Eydoux, Amy Lum, Siu‐Li Yong, Margaret L. McKinnon, Scott A. Lear, R.W. Everett, Steven J.M. Jones, Stephen Yip

Bibliographic record

VenueAmerican Journal of Medical Genetics Part A · 2014
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Tumor Research and Treatment
Canadian institutionsCanada's Michael Smith Genome Sciences CentreSimon Fraser UniversityBC Cancer AgencyArtificial Intelligence in Medicine (Canada)University of VictoriaGenome British ColumbiaChild and Family Research InstituteBC Children's HospitalUniversity of British Columbia
FundersFundação para a Ciência e a TecnologiaCanadian Institutes of Health ResearchRare Disease FoundationChild and Family Research InstituteHeart and Stroke Foundation of Canada
KeywordsLipomatosisAdipose tissuePhenotypeSomatic cellMutationPathologyMedicineBiologyAnatomyGeneticsInternal medicineGene

Abstract

fetched live from OpenAlex

We describe a patient who presented with a localized growth of mature fat tissue, which was surgically removed. MRI imaging identified diffuse increase in visceral adipose tissue. Targeted deep sequencing of the resected tissue uncovered a p.H1047R variant in PIK3CA, which was absent in blood. This report expands the phenotypic spectrum of mosaic PIK3CA mutations. © 2014 The Authors. American Journal of Medical Genetics Part A Published by Wiley Periodicals, Inc.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.309
Teacher spread0.295 · 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

Citations15
Published2014
Admission routes2
Has abstractyes

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Same venueAmerican Journal of Medical Genetics Part ASame topicGastrointestinal Tumor Research and TreatmentFrench-language works237,207