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Record W7061370782

A prevalência das mordidas cruzadas nas crianças com fenda lábio-palatina: revisão sistemática

2024· dissertation· pt· W7061370782 on OpenAlexaboutno aff

Bibliographic record

VenueRepositorio Institucional (Universidade Fernando Pessoa) · 2024
Typedissertation
Languagept
FieldPhysics and Astronomy
TopicGyrotron and Vacuum Electronics Research
Canadian institutionsnot available
Fundersnot available
KeywordsSciELOContext (archaeology)MistakeWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Objetivo: Esta revisão sistemática teve como objetivo avaliar a prevalência de mordida cruzada nas crianças com fenda lábio-palatina. Metodologia: A pesquisa sistemática foi realizada em cinco bases de dados, B-on, Cochrane Library, PubMed, SciELO e Science Direct. Após aplicação dos critérios de seleção foram incluídos 12 estudos. A avaliação de risco de viés foi realizada utilizando a ferramenta Newcastle-Ottawa. Descrição do tema abordado: As fendas lábio-palatinas são atualmente uma anomalia congénita que afeta uma em cada setecentas crianças. É caracterizada pelo não encerramento do lábio e/ou do palato durante a embriogénese. É um desafio o tratamento desta alteração que tem implicações na alimentação, fonética, estética, entre outros. A mordida cruzada é a maloclusão mais prevalente nestes indivíduos e merece neste estudo uma espacial atenção.

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)0.010
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0120.015
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
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 head0.018
GPT teacher head0.303
Teacher spread0.285 · 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 designSystematic review
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

Citations0
Published2024
Admission routes1
Has abstractyes

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