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Record W4294842587 · doi:10.46875/jmd.v10i3.523

Toxina botulínica: vantagens e intercorrências na odontologia

2022· article· pt· W4294842587 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

VenueJournal of Multidisciplinary Dentistry · 2022
Typearticle
Languagept
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesMedicinePhilosophy

Abstract

fetched live from OpenAlex

Na área da estética, a toxina botulínica é bastante utilizada para diversos tipos de tratamento, sendo considerada bastante eficaz. O objetivo dessa pesquisa é descrever através de uma revisão integrativa as vantagens e intercorrências da toxina botulínica devido a importância do seu uso na medicina e odontologia com finalidades terapêuticas e estéticas. A busca foi realizada nos bancos de dados LILACS, utilizando-se os Descritores em Ciências da Saúde (DeCs) “toxina botulínica” e “estética facial”. Foram selecionados 10 publicados em português disponíveis online, publicados entre 2009 e 2020, de onde emergiram os resultados. Observou-se que as vantagens são superiores as intercorrências desde que possua conhecimento da anatomia facial, função muscular e farmacologia da neurotoxina. Sendo assim, uma opção segura, pouco invasiva, acessível e eficaz quando aplicada em músculos corretos trazendo benefícios estéticos e terapêuticos.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.034
GPT teacher head0.314
Teacher spread0.280 · 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