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Record W2095650876 · doi:10.1002/ana.24274

Absent <scp>CNKSR</scp>2 causes seizures and intellectual, attention, and language deficits

2014· article· en· W2095650876 on OpenAlexafffund
Andrea K. Vaags, Sarah Bowdin, Mary‐Lou Smith, Brigitte Gilbert‐Dussardier, Katja S. Brocke‐Holmefjord, Katia J. Sinopoli, Cindy Gilles, Tove B. Haaland, Catherine Vincent‐Delorme, Emmanuelle Lagrue, Radu Harbuz, Susan Walker, Christian R. Marshall, Gunnar Houge, Vera M. Kalscheuer, Stephen W. Scherer, Berge A. Minassian

Bibliographic record

VenueAnnals of Neurology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsUniversity of TorontoCalgary Laboratory ServicesSickKids FoundationAlberta Children's HospitalHospital for Sick Children
FundersHospital for Sick ChildrenCanadian Institute for Advanced ResearchOntario Brain InstituteCanadian Institutes of Health ResearchGenome CanadaGovernment of OntarioCalgary Laboratory ServicesUniversity of TorontoGlaxoSmithKline
KeywordsEpilepsyNeuroscienceSynapseIntellectual disabilityPsychologyDiseaseMedicinePsychiatryPathology

Abstract

fetched live from OpenAlex

Synaptic function is central to brain function. Understanding the synapse is aided by studies of patients lacking individual synaptic proteins. Common neurological diseases are genetically complex. Their understanding is likewise simplified by studies of less common monogenic forms. We detail the disease caused by absence of the synaptic protein CNKSR2 in 8 patients ranging from 6 to 62 years old. The disease is characterized by intellectual disability, attention problems, and abrupt lifelong language loss following a brief early childhood epilepsy with continuous spike-waves in sleep. This study describes the phenotype of CNKSR2 deficiency and its involvement in systems underlying common neurological disorders.

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 score0.733
Threshold uncertainty score0.333

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 science0.0000.000
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 head0.020
GPT teacher head0.281
Teacher spread0.260 · 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

Citations56
Published2014
Admission routes2
Has abstractyes

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