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Record W2007696372 · doi:10.15273/dmj.vol41no1.5940

A case of myoclonus-dystonia diagnosed as Tourette Syndrome

2014· article· en· W2007696372 on OpenAlexaffvenue
Gregory Hosier, Roger McKelvey

Bibliographic record

VenueDalhousie Medical Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDystoniaMyoclonusTicsMyoclonic JerkTourette syndromePsychologyMovement disordersPediatricsMedicinePsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Myoclonus dystonia (M-D) is a rare movement disorder characterized by a combination of myoclonic jerks and mild dystonia typically beginning before age 20. M-D is caused by mutations in the SGCE gene in 36% of cases. We report a patient with genetically confirmed M-D who was initially diagnosed with Tourette syndrome (TS) for 15 years. Myoclonic jerks are distinguished from tics seen in Tourette syndrome in that they are not suppressed by conscious effort, are not preceded by an urge to carry out the movement, can interfere with voluntary movement, and are suppressed by alcohol intake. Conversely, tics seen in Tourette syndrome can be suppressed with conscious effort, are preceded by an urge to tic, often have a verbal component, do not normally interfere with voluntary movement, and are not reduced by alcohol. Although M-D is rare, it must be considered in patients with early onset myoclonus and dystonia, especially in cases with a positive family history.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.275
Teacher spread0.262 · 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 designCase report
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
Published2014
Admission routes2
Has abstractyes

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