MétaCan
Menu
Back to cohort
Record W4395698144 · doi:10.1016/j.brs.2024.02.008

Concerns about efficacy of deep brain stimulation (DBS) in centromedian-parafascicular thalamic complex for rapid onset dystonia-parkinsonism (DYT12-ATP1A3)

2024· letter· en· W4395698144 on OpenAlexaboutno aff
Laura Cif, Mayté Castro Jiménez, Julien F. Bally

Bibliographic record

VenueBrain stimulation · 2024
Typeletter
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsDeep brain stimulationDystoniaParkinsonismMedicineNeuroscienceNeuromodulationStimulationPsychologyParkinson's diseaseInternal medicine

Abstract

fetched live from OpenAlex

We read with significant interest Wang et al.‘s paper titled “Centromedian-Parafascicular Complex Deep Brain Stimulation Improves Motor Symptoms in Rapid Onset Dystonia-Parkinsonism (DYT12- ATP1A3),” recently published in Brain Stimulation [1]. This article caught our attention given the lack of proven efficacy of both pharmacological and neurosurgical treatments for alleviating rapid-onset dystonia-parkinsonism phenotype related to ATP1A3 gene pathogenic variants [2], currently referred to as DYT/PARK-ATP1A3 [3].

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)0.016
metaresearch head score (Gemma)0.087
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.016
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.087
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0050.002

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 head0.042
GPT teacher head0.324
Teacher spread0.282 · 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 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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueBrain stimulationSame topicNeurological disorders and treatmentsFrench-language works237,207