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Record W2772537975 · doi:10.3324/haematol.2017.167973

Loss of 5-hydroxymethylcytosine is a frequent event in peripheral T-cell lymphomas

2017· letter· en· W2772537975 on OpenAlexafffund
François Lemonnier, Elsa Poullot, Aurélie Dupuy, Lucile Couronné, Nadine Martin, Laurianne Scourzic, Virginie Fataccioli, Julie Bruneau, Rob A. Cairns, Tak W. Mak, Olivier Bernard, Laurence de Leval, Philippe Gaulard

Bibliographic record

VenueHaematologica · 2017
Typeletter
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsPrincess Margaret Cancer Centre
FundersAssistance publique-Hôpitaux de ParisInstitut Gustave-RoussyInstitut National Du CancerCampbell Family Institute for Breast Cancer ResearchFondation pour la Recherche MédicaleUniversité Paris-SudCentre Hospitalier Universitaire Vaudois
Keywords5-HydroxymethylcytosineEpigeneticsBiologyPeripheral T-cell lymphomaPeripheralCancer researchGeneticsDNA methylationT cellMedicineImmunologyInternal medicineImmune systemGeneGene expression

Abstract

fetched live from OpenAlex

Mutations in the epigenetic regulators TET2, IDH2 , and DNMT3A are frequent in peripheral T-cell lymphomas (PTCL), especially in those derived from T follicular helper (TFH) cells. However, the consequences of these alterations on overall levels of 5-hydroxymethylcytosine (5hmC) and 5-methylcytosine

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.545
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.280
Teacher spread0.259 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations28
Published2017
Admission routes2
Has abstractyes

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