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Record W2408174385 · doi:10.1177/229255031202000410

Nonprogessive size reduction of limbs involved in giant congenital nevi: A magnetic resonance imaging study

2012· article· en· W2408174385 on OpenAlexvenueno aff
Andre De Greef

Bibliographic record

VenueCanadian Journal of Plastic Surgery · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and rare skin diseases.
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMagnetic resonance imagingTrunkLower limbNevusAnatomyPathologyBiologySurgeryMelanomaRadiology

Abstract

fetched live from OpenAlex

Giant congenital nevi are hamartomas of neuroectodermal origin predominantly involving the trunk; two or more body segments are also commonly involved. A feature observed when giant congenital nevi are involved in a limb is a nonprogressive reduction in limb size. This feature has been evaluated, and demonstrates alterations only in the skin and subcutaneous tissue of the affected limb, with all other structures normal compared with the unaffected contralateral limb. The present magnetic resonance imaging study clearly demonstrates the substitution of subcutaneous tissue and fat cells by nevus cells, leading to a dramatic volume reduction in these tissues. The volumes of the deeper structures were not affected.

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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.213
Teacher spread0.204 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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