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Development and evaluation of a Global Acne Severity Scale (GEA Scale) suitable for France and Europe

2010· article· en· W1480504814 on OpenAlex
Brigitte Dréno, F. Poli, H Pawin, C Beylot, Michel Faure, M Chivot, N. Auffret, Dominique Moyse, F. Ballanger, J. Revuz

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the European Academy of Dermatology and Venereology · 2010
Typearticle
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsMedicineScale (ratio)AcneDermatologyCartography

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVE: Many acne grading methods exist; however, there is no agreed-upon standard. Our objective was to create and validate a reproducible acne assessment scale for rating the severity of juvenile facial acne suitable for use in France and Europe. METHODS: The scale we created described the different types of acne lesions in a manner similar to global assessment scales used in clinical trials. The scale was then validated by seven expert dermatologists in the field of acne [the Global Evaluation Acne (GEA) group] first on 34 photographic cases of Caucasian acne patients and second by clinical examination of 22 acne patients. RESULTS: There was good agreement in Investigators' assessments of acne both on photographs and patients (R = 0.8057; P < 0.0001, and R = 0.8437; P = 0.0015). CONCLUSION: The GEA Scale is a global scale validated both on photographs and acne patients which can be used either in clinical research or by the dermatologist in his office.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.236

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.019
GPT teacher head0.303
Teacher spread0.284 · 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