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Record W4394600716 · doi:10.1212/wnl.0000000000204709

Impact of Genetic Susceptibility on Multiple Sclerosis Immune Methylome (S17.006)

2024· article· en· W4394600716 on OpenAlexaff
Antonino Giordano, Maria Needhamsen, Klementy Shchetynsky, Pernilla Stridh, Adil Harroud, Christiane Gasperi, Iaroslav Zinevych, Kimmo Pääkkönen, Päivi Lahermo, Sandra D’Alfonso, Nadia Barizzone, Paola Cavalla, Antonio Gallo, Elena Chinni, Bernhard Hemmer, Martina Flaskamp, Paula Uibel, Fredrik Piehl, Federica Esposito, Elisabetta Mascia, Melissa Sorosina, Massimo Filippi, Stefan Gustavsen, Anna Olsson, Helle Bach Søndergaard, Annette Oturai, Bénédicte Dubois, Hanne Catherine Flinstad Harbo, Tone Berge, Steffan D. Bos, Pablo Villoslada, Sara Llufriú, Filippo Martinelli Boneschi, Roland Liblau, Béatrice Pignolet, Ingrid Kockum, Stephan Beck, Janna Saarela, Maja Jagodic

Bibliographic record

VenueNeurology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsMcGill University
Fundersnot available
KeywordsMultiple sclerosisDNA methylationImmune systemMethylationGeneGeneticsBiologyColocalizationImmunologyNeuroscienceGene expression

Abstract

fetched live from OpenAlex

To investigate if Multiple Sclerosis (MS) risk variants drive changes in DNA methylation and whether such changes colocalize implicating the variants that influence both MS risk and gene methylation.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.001

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 head0.024
GPT teacher head0.283
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2024
Admission routes1
Has abstractyes

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