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Record W4255813817 · doi:10.14740/jmc2469w

Multiple Symmetrical Lipomatosis: Madelung’s Disease

2016· article· en· W4255813817 on OpenAlex
Margarida Carvalho, Pedro Palma, Filipa Silva, Marta Patacho, Fátima Coelho

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLipomatosisEtiologyDiseaseDermatologyRare diseaseAlcohol abusePediatricsIncidence (geometry)SurgeryPathologyPsychiatry

Abstract

fetched live from OpenAlex

Multiple symmetric lipomatosis or Madelung’s disease is a rare condition which is characterized by multiple symmetric and disfiguring accumulation of non-capsulated fat tissue depositions mostly in upper arms, neck, and shoulder areas. The disease etiology is unknown, with the highest incidence in the Mediterranean region and an association with alcohol abuse. We present a case of a patient admitted to our internal medicine department for cervical mass study. This patient was already studied by his general practitioner because of thyroid disease suspicion. During our study, diagnosis of Madelung’s disease with typical fat depositions was established. This article is a short review of the topic and points out the possible diagnostic difficulties presented in early stages of the disease. J Med Cases. 2016;7(5):178-180 doi: https://doi.org/10.14740/jmc2469w

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.294
Teacher spread0.263 · 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