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Record W4408532436 · doi:10.1016/j.gimo.2025.102228

P263: HNRNP-related neurodevelopmental disorders: Expanding knowledge of known conditions and prompting novel studies into candidate genes

2025· article· en· W4408532436 on OpenAlexaff
Madelyn A. Gillentine, Adam E. Hansen, Cassidy Da Silva, Lindsay A. Phillips, Snezana Plecas Maricic, A L Beaudet, Kara Murias, Benedikt Hallgrimsson, Meena Balasubramanian, Jennifer Bain, Antonie D. Kline, Billie Au

Bibliographic record

VenueGenetics in Medicine Open · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGeneNeuroscienceCandidate genePsychologyComputational biologyGeneticsBioinformaticsBiology

Abstract

fetched live from OpenAlex

The HNRNP-Related Neurodevelopmental Disorders (HNRNP-RNDDs) are a group of NDDs caused by damaging variants in the heterogeneous nuclear ribonucleoprotein (HNRNP) gene family. To date, eight HNRNP-RNDDs have been described and multiple candidate HNRNP-RNDDs are being investigated. By approaching these disorders as a group of related disorders, we hope to uncover shared aspects that may lead to shared therapeutics.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.907

Codex and Gemma teacher scores by category

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.359
Teacher spread0.334 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2025
Admission routes1
Has abstractyes

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