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Record W4402909744 · doi:10.1016/j.jdin.2024.08.021

Resistance to cosmetic botulinum toxin A: A 15-patient case series across 12 sites

2024· article· en· W4402909744 on OpenAlex
Carlos Gustavo Wambier, Fatima N. Mirza, Sarah P.F. Wambier, Vince Bertucci, Jean Carruthers, Joely Kaufman, John Martin, Jennifer Sterling, Flávia Brasileiro, Carolina Marçon, Allison J. Brown, Miranda Rosenberg, Lilia R S Guadanhim, Dóris Hexsel

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJAAD International · 2024
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsUniversity of British ColumbiaUniversity of Toronto
FundersUniversity of British ColumbiaUniversity of TorontoBrown University
KeywordsBotulinum toxinToxinSeries (stratigraphy)Resistance (ecology)DermatologyMedicineMicrobiologySurgeryBiology

Abstract

fetched live from OpenAlex

To the Editor: With the increased popularity of cosmetic botulinum neurotoxin type A (BNTA) injections, evidence is emerging on the development of resistance in some patients.1 Although the exact prevalence or incidence of this phenomenon is likely modest overall, this study aimed to investigate clinical characteristics of complete BNTA resistance and to compare the effects of alternative neurotoxins attempts after 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.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.001

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 head0.019
GPT teacher head0.307
Teacher spread0.288 · 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