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Record W3195724978 · doi:10.1111/pde.14670

Annular lipoatrophy of the ankle: Four new pediatric cases and a review of the literature

2021· review· en· W3195724978 on OpenAlexaff
Timila Assia Touhouche, É. Tournier, Laurence Lamant, J.M. Hardy, Alain Taı̈eb, Christine Labrèze, M Cony, Sébastien Lepreux, C. Chiavérini, J.‐P. Lacour, Nathalie Cardot‐Leccia, C. Bédane, S. Assikar, Aurélie Charissoux, J. Mazereeuw‐Hautier

Bibliographic record

VenuePediatric Dermatology · 2021
Typereview
Languageen
FieldMedicine
TopicDermatological and COVID-19 studies
Canadian institutionsSKiN Health
Fundersnot available
KeywordsLipoatrophyMedicineAnkleLipodystrophyRare diseaseDermatologyPanniculitisSubcutaneous fatPediatricsDiseaseSurgeryPathologyAntiretroviral therapyInternal medicineHuman immunodeficiency virus (HIV)Family medicine

Abstract

fetched live from OpenAlex

Annular lipoatrophy of the ankle is a rare and unique acquired lipoatrophic panniculitis that mainly affects children. There is no consensus on treatment, and the long-term course is not well known. We present four new pediatric cases that contribute to the understanding of this rare disease.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.040
GPT teacher head0.318
Teacher spread0.278 · 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
GenreReview

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

Citations3
Published2021
Admission routes1
Has abstractyes

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