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Record W2412468017 · doi:10.1002/mdc3.12371

Down the Stairs Dystonia—A Novel Task‐Specific Focal Isolated Syndrome

2016· article· en· W2412468017 on OpenAlexaffabout
Suresh Menon, Jihad A. Muglan, Laith Shimon, Dwight J. Stewart, Barry Snow, Mike Hayes, Victor S.C. Fung, Mandar Jog

Bibliographic record

VenueMovement Disorders Clinical Practice · 2016
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsDalhousie UniversityWestern UniversityLondon Health Sciences CentreMcMaster University
FundersNational Health and Medical Research CouncilAbbVie
KeywordsDystoniaStairsPhysical medicine and rehabilitationMovement disordersMedicineTask (project management)Focal dystoniaNeurological disorderPsychologyPhysical therapyNeuroscienceCentral nervous system diseasePathology

Abstract

fetched live from OpenAlex

Adult-onset, task-specific dystonia of the lower limb is a rare occurrence. In this report, the authors present 6 cases of task-specific dystonia manifested only when going down the stairs. These patients were seen by 6 different neurologists from across Canada, Australia, and New Zealand, and all videos were reviewed by 1 movement disorders specialist who made the final diagnosis. Video description of each case is also presented. All 6 patients demonstrated dystonia of 1 of their lower limbs specifically only when going down the stairs. The remainder of the neurological examination was normal, and distractibility, inconsistency, fixed dystonia, or a premonitory urge were absent, making functional movement disorder and tic disorder unlikely. These 6 patients display a distinct, adult-onset, focal isolated dystonia manifested only on going down the stairs that is recognizable as a new task-specific dystonia of the lower extremity.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.334
Teacher spread0.301 · 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 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

Citations7
Published2016
Admission routes2
Has abstractyes

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