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Record W7038211000

Grau de Satisfação de Próteses Totais Convencionais VS Sobredentaduras em Pacientes Idosos

2020· dissertation· pt· W7038211000 on OpenAlexaboutno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2020
Typedissertation
Languagept
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsDiseaseQuality of life (healthcare)Work (physics)Medical prescriptionMEDLINE
DOInot available

Abstract

fetched live from OpenAlex

Ao longo dos anos um problema de edentulismo nos mais idosos tem-se incrementado devido ao crescente aumento da população nesta faixa etária que é resultado de um acrescimento da esperança média de vida. As próteses totais acrílicas, obtêm a sua retenção a partir da saliva através da adesão, pressão atmosférica que se opoêm ás forças extrusivas e pela tensão superficial. Problemas como: dificuldade de mastigação, ausência de estabilidade, dores frequentes, problemas de saúde associados à má nutrição e digestão, baixa estima e consequentemente má qualidade de vida. Levam muitas das vezes os pacientes a optarem pelas sobredentaduras, as quais com base na declaração de McGill(2002) e York(2009) se pode afirmar que são uma excelente solução para a reabilitação dos pacientes, atribuindo-lhes um aumento de conforto, restauração da função mastigatória, fonética e estética. Perante estas duas formas de reabilitação surge a necessidade de definir e comparar o grau de satisfação dos pacientes portadores de próteses totais acrílicas VS os pacientes portadores de sobredentaduras. Para este trabalho foi realizada uma pesquisa na base de dados PUBMED. A pesquisa identificou 84. artigos dos quais foram seleccionados 65 por possuírem os critérios de inclusão definidos. Palavras chave: Prót

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.063
GPT teacher head0.384
Teacher spread0.321 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2020
Admission routes1
Has abstractyes

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Same venuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)Same topicBotulinum Toxin and Related Neurological DisordersFrench-language works237,207