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Record W2312761661 · doi:10.1017/s0317167100007678

Nodular Fasciitis Presenting in the Obturator Nerve and Gracilis Muscle

2008· letter· en· W2312761661 on OpenAlexaffvenue
Aria Fallah, Joey Grochmal, Jian‐Qiang Lu, Lisa Difrancesco, Moosa Khalil, Arthur W. Clark, Rajiv Midha

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2008
Typeletter
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsUniversity of CalgaryMcMaster University
Fundersnot available
KeywordsNodular fasciitisObturator nerveMedicineEtiologyGracilis muscleAnatomyFasciitisAdductor musclesPathologySurgerySoft tissue

Abstract

fetched live from OpenAlex

Nodular fasciitis is a reactive proliferation of fibroblasts/myofibroblasts characterized by a rapidly growing non-tender subcutaneous mass and subsequently self-limited course. It is commonly found on the upper extremities, face, and shoulder, although it may occur in any superficial location. Its etiology is largely unknown, but associations have been made with local trauma, infection and inflammation. We report a case of an intraneural and intramuscular nodular fasciitis presenting in the obturator nerve and gracilis muscle, respectively. To our knowledge, this is the second reported case of this disease presenting in a nerve of the lower extremity, as well as the first reported case of it presenting within muscle and nerve simultaneously.

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)0.005
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0070.003
Insufficient payload (model declined to judge)0.0040.002

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 head0.048
GPT teacher head0.273
Teacher spread0.225 · 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

Citations10
Published2008
Admission routes2
Has abstractyes

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