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Aesthetic Botulinum A Toxin in the Mid and Lower Face and Neck

2003· article· en· W2094956098 on OpenAlex

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

VenueDermatologic Surgery · 2003
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBotulinum toxinMedicineDermatologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Botulinum toxin type A (BOTOX formulation) is used extensively for smoothing hyperkinetic lines in the upper face. The use of botulinum toxin for aesthetic indications in the mid and lower face and neck is now becoming increasingly popular. OBJECTIVE: To review our current approaches to botulinum toxin treatment for cosmetic indications in the mid and lower face and neck. METHODS: Procedures and outcomes are described for the primary and adjunctive use of botulinum toxin. RESULTS: Cosmetic treatment with botulinum toxin successfully changes the contour of the palebral aperture; smoothes lines, including "bunny" lines, perioral rhytides, and horizontal neck lines; softens creases, including the mental crease and melomental folds; and alleviates facial asymmetry and nasal flare. The doses of botulinum toxin used in the mid and lower face are generally lower than those used in the upper face. Caution must be used in injecting botulinum toxin in the perioral area to avoid an incompetent mouth. CONCLUSION: Botulinum toxin treatment is valuable for aesthetic improvements in the mid and lower face and neck. In some areas, particularly the perioral region, the use of botulinum toxin in combination with other therapeutic modalities provides optimal results.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.383

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)0.0000.000

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 head0.021
GPT teacher head0.238
Teacher spread0.217 · 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