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Record W4286375207 · doi:10.4103/jcas.jcas_162_21

Microdroplet botulinum toxin: A review

2022· review· en· W4286375207 on OpenAlexaff
Ishmeet Kaur, Rajat Kandhari, Jyoti Gupta, Firas Al‐Niaimi

Bibliographic record

VenueJournal of Cutaneous and Aesthetic Surgery · 2022
Typereview
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsSKiN Health
Fundersnot available
KeywordsMedicineBotulinum toxinSurgery

Abstract

fetched live from OpenAlex

Microbotox is the administration of multiple microdroplets of botulinum toxin in intradermal plane. It is increasingly becoming popular owing to its more favorable outcome and better safety profile than the conventional technique. The intention is to treat fine lines and wrinkles without imparting an undesired "frozen face like" appearance. Besides facial rejuvenation, it has found its way into the management of other indications such as rosacea, hyperhidrosis, keloid, and seborrhea. Being a relatively newer method, knowledge about the various dilution methods, desired volume, and correct depth of injection involved in this technique remain scarce. In this article, the authors have highlighted various indications, procedures, adverse effects, and contraindications of microbotox.

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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.061
GPT teacher head0.315
Teacher spread0.254 · 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 teacher head, not a consensus.

Study designOther design
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

Citations20
Published2022
Admission routes1
Has abstractyes

Explore more

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