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Record W2804558916 · doi:10.1002/mds.27375

Sleep‐related motor and behavioral disorders: Recent advances and new entities

2018· review· en· W2804558916 on OpenAlexaff
David P. Breen, Birgit Högl, Alfonso Fasano, Claudia Trenkwalder, Anthony E. Lang

Bibliographic record

VenueMovement Disorders · 2018
Typereview
Languageen
FieldMedicine
TopicRestless Legs Syndrome Research
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsSleep medicineNeurologyEpilepsyMovement disordersSubspecialtyMedicineSleep disorderNeuropsychiatrySleep (system call)DiseaseNeurological disorderPsychiatryPsychologyPhysical medicine and rehabilitationNeuroscienceCentral nervous system diseaseInsomniaPathology

Abstract

fetched live from OpenAlex

Patients with sleep-related motor and behavioral disorders present to a variety of subspecialty clinics (neurology, sleep medicine, respiratory medicine, psychiatry). Diagnosing these disorders can be difficult, and sometimes they have a significant impact on quality of life. Alongside a number of common and well-recognized conditions, several new disease entities have been described in recent years that present with abnormal nocturnal motor phenomena (such as ADCY5-associated disease and anti-IgLON5 disease). Our understanding of the neural basis and prognostic significance of other sleep-related disorders has also grown, particularly rapid eye movement sleep behavior disorder. This review (along with a collection of previously unpublished videos) is intended to aid in the recognition and treatment of these patients. The recent change in terminology from nocturnal frontal lobe epilepsy to sleep-related hypermotor epilepsy is also discussed. © 2018 International Parkinson and Movement Disorder Society.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.004
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.066
GPT teacher head0.391
Teacher spread0.324 · 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
GenreReview

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

Citations15
Published2018
Admission routes1
Has abstractyes

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