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Record W1971521087 · doi:10.1097/rhu.0b013e3181c427ff

Inferior Gluteal Vein Varicosities

2009· article· en· W1971521087 on OpenAlexaff
Hema Choudur, Rohit Joshi, Peter L. Munk

Bibliographic record

VenueJCR Journal of Clinical Rheumatology · 2009
Typearticle
Languageen
FieldMedicine
TopicVascular anomalies and interventions
Canadian institutionsVancouver General HospitalUniversity of British ColumbiaMcMaster University
Fundersnot available
KeywordsSciaticaMedicinePelvisMagnetic resonance imagingSciatic nerveSurgeryLumbosacral jointVeinGluteal regionLow back painBack painSacrumRadiologyAnatomy

Abstract

fetched live from OpenAlex

In Brief A 77-year-old woman presented with gradually progressing right sciatica of 2 years duration. She was investigated with a magnetic resonance imaging of the lumbosacral spine which did not reveal any abnormality. Magnetic resonance imaging of the pelvis was then performed and revealed right inferior gluteal vein varicosities causing compression of the adjacent sciatic nerve resulting in sciatica. Pain was relieved by walking likely due to collapse of the vein. This patient declined surgery but benefit has been reported in similar cases. Pain radiating below the knee and relieved by walking was explained by pelvic MRI when back studies were normal.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.053
GPT teacher head0.431
Teacher spread0.378 · 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 designObservational
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

Citations12
Published2009
Admission routes1
Has abstractyes

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