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Record W4313706985 · doi:10.1093/pch/pxac097

A 16-year-old boy with lower extremity muscle wasting and pain

2023· article· en· W4313706985 on OpenAlexaffabout
Mona Hnaini, Leandro Cardarelli‐Leite, Tim Carey, Craig Campbell

Bibliographic record

VenuePaediatrics & Child Health · 2023
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineLibrary scienceHistoryPediatricsFamily medicine

Abstract

fetched live from OpenAlex

A 16-year-old boy presented with 1-year history of left thigh pain that was dull in nature and lasted for several hours every day with minimal response to multiple analgesics (non steroid anti-inflammatory drugs, Acetaminophen, and Pregabalin). He denied any back discomfort, incontinence, muscle cramps, falling incidents, or sensory symptoms. There was no relevant past medical or family history. On physical examination, there was obvious wasting of the left lower extremity. Left mid-thigh circumference measured 42 cm as compared to right side 45.5 cm. And left calf measured 32 cm in comparison to right calf 35 cm (Figure 1). Deep tendon reflexes were +2 bilaterally with normal plantar responses. There was no evidence of increased tone. He had subtle weakness in left hip abduction/adduction and knee extension. The sensory exam was normal. Straight leg raise tests were both negative and there was no pain to palpation. ... The following radiologic images were done in order over a period of 6 months, X-rays knee and femur, MR spine, MR pelvis and thigh and MR head did not show any evidence of muscle, bone, vascular, lumbosacral plexus injury, or nerve lesion. Then, Doppler ultrasound for leg vessels was done and reported normal. Nerve conduction and electromyography studies were repeated twice over the same period and came back normal. After these extensive investigations and consultation with multiple specialists, a final imaging study and procedure revealed the diagnosis.

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)0.004
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 score0.014
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0030.002
Scholarly communication0.0010.003
Open science0.0010.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0100.002

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 head0.019
GPT teacher head0.286
Teacher spread0.267 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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