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Record W4242237858 · doi:10.1017/s0317167100010969

Hirayama Disease

2010· article· fr· W4242237858 on OpenAlexaffvenue
Jennifer R. Tynan, Evan Frangou, Christopher Voll, Rob Otani, Sheri Harder

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2010
Typearticle
Languagefr
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsUniversity of SaskatchewanRoyal University Hospital
Fundersnot available
KeywordsMedicineAction (physics)Content (measure theory)Physical medicine and rehabilitationMathematicsPhysics

Abstract

fetched live from OpenAlex

A previously healthy 16-year-old female with no family history of neuromuscular disorders presented with a seven year history of hand incoordination.On examination, she had wasting of the intrinsic hand muscles bilaterally, right worse than left.There was no sensory loss, muscle cramping, or pain.Magnetic resonance imaging (MRI) of the cervical spine did not reveal any abnormal findings.Nerve conduction studies identified moderate slowing of the conduction velocity in the right ulnar nerve.One year later, the patient's complaint of hand incoordination continued.Repeat nerve conduction studies revealed conduction blocks in both median nerves in addition to the previously noted decreased conduction velocity in the right ulnar nerve.Followup cervical spine MRI was performed (Figures 1, 2).Magnetic resonance imaging in the neutral position demonstrated subjectively decreased volume and subtly increased T2 hyperintensity in the anterocentral portion of the cervical spinal cord from C5-7 (Figures 1, 2).The cord signal change was non-specific.Imaging obtained in the flexed position elicited severe spinal canal stenosis most marked at C6-7 with a maximal midline anteroposterior diameter of the spinal canal of

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)0.002
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 score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0160.003

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 head0.026
GPT teacher head0.279
Teacher spread0.253 · 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

Citations5
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesSame topicCardiovascular Issues in PregnancyFrench-language works237,207