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Record W4309351406 · doi:10.51670/aos.v3i3.121

JATO DE PLASMA FOTOMODULADO NA HARMONIZAÇÃO OROFACIAL

2022· article· pt· W4309351406 on OpenAlexaff
Rosane de Fátima Zanirato Lizarelli, Sandra Costa

Bibliographic record

VenueAESTHETIC OROFACIAL SCIENCE · 2022
Typearticle
Languagept
FieldHealth Professions
TopicOral and Craniofacial Lesions
Canadian institutionsSKiN Health
Fundersnot available
KeywordsPhysicsChemistryHumanitiesMolecular biologyBiologyPhilosophy

Abstract

fetched live from OpenAlex

Objetivo: Apresentar o emprego do “peeling” físico com jato de plasma fotomodulado, através de um protocolo completo global sugerido, em detalhes, e com um equipamento recém-lançado no mercado nacional brasileiro, como mais um procedimento bem-sucedido para a harmonização orofacial, com base nos mecanismos de ação dessas tecnologias e indicações para o tratamento estético e funcional. Caso clínico: Sete casos clínicos, com seus aspectos iniciais e pós-operatórios, representando as principais queixas dos pacientes que buscam o rejuvenescimento orofacial, são apresentados, seguindo os passos sugeridos e adaptados para cada caso descrito. Discussão: O estado da arte do jato de plasma fotomodulado para os procedimentos da HOF é discutido e confirma sua eficiência como instrumento inovador e de fácil manuseio clínico. Conclusão: Usar o jato de plasma fotomodulado na HOF é uma opção bastante eficiente diante das exigências da busca de bem-estar e saúde orofacial, por isso recomendamos fortemente a sua utilização.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.048
GPT teacher head0.362
Teacher spread0.314 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2022
Admission routes1
Has abstractyes

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