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Record W4308372087 · doi:10.1111/nan.12862

Recurrent posterior fossa group A (PFA) ependymoma in a young child with constitutional mismatch repair deficiency (CMMRD)

2022· article· en· W4308372087 on OpenAlexafffund
Mayen Briggs, Anirban Das, Helen V. Firth, Adrian Levine, Santiago Sánchez‐Ramírez, Logine Negm, Ayse B. Ercan, Jill Chung, Vanessa Bianchi, Ibrahim Jalloh, Poe Phyu, Nicky Thorp, Richard G. Grundy, Cynthia Hawkins, Jamie Trotman, Patrick Tarpey, Uri Tabori, Kieren Allinson, Matthew J. Murray

Bibliographic record

VenueNeuropathology and Applied Neurobiology · 2022
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsSickKids FoundationHospital for Sick Children
FundersMedical Research CouncilStand Up To CancerMedical Research Council CanadaDepartment of Health and Social CareNational Institute for Health and Care ResearchHeart of England NHS Foundation TrustCancer Research UKNIHR Cambridge Biomedical Research CentreWellcome TrustSt. Baldrick's Foundation
KeywordsPMS2MSH6MSH2DNA mismatch repairMLH1Microsatellite instabilityMedulloblastomaLynch syndromeMedicineGermline mutationOncologyCancerBiologyInternal medicineCancer researchMutationGeneticsMicrosatellite

Abstract

fetched live from OpenAlex

Constitutional mismatch repair deficiency (CMMRD) is a hereditary cancer syndrome, characterised by biallelic germline pathogenic variants in one of the four DNA mismatch repair (MMR) genes, mutS homologue 2 (MSH2), mutS homologue 6 (MSH6), mutL homologue 1 (MLH1), or postmeiotic segregation increased 2 (PMS2) [1].First described in 1999 [2, 3] and initially considered rare, there have been increasing reports of this syndrome over the past decade, and it is now considered as being underdiagnosed, particularly with higher prevalence among endogamous populations [4] and in developing countries [5].Individuals with CMMRD are at high risk of developing multiple malignancies across the central nervous system (CNS), haematological, and gastrointestinal systems, often with cutaneous Mayen Briggs and Anirban Das contributed equally.

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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.225
Teacher spread0.215 · 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

Citations11
Published2022
Admission routes2
Has abstractyes

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