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VÍNCULO MÃE-FILHO E OPORTUNIDADES PARA O DESENVOLVIMENTO MOTOR DE LACTENTES EXPOSTOS E NÃO EXPOSTOS AO HIV

2022· article· pt· W4312509083 on OpenAlexaboutno aff
Camila Ortega Ruivo, Raissa Felipe Pádua, Cristina dos Santos Cardoso de Sá

Bibliographic record

VenueMovimenta (ISSN 1984-4298) · 2022
Typearticle
Languagept
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)PsychologyMedicineHumanitiesArtVirology

Abstract

fetched live from OpenAlex

Objetivos: Caracterizar e avaliar o vínculo mãe-filho, as oportunidades domiciliares e o desenvolvimento motor de lactentes expostos e não expostos ao HIV entre 4 a 12 meses de idade. Métodos: Estudo transversal com 48 lactentes e suas mães, sendo 21 expostos ao HIV e 27 não expostos. As mães responderam ao Protocolo de Avaliação do Vínculo Mãe-Filho, o questionário Affordances no Ambiente Domiciliar, o desenvolvimento motor foi avaliado pela Alberta Infant Motor Scale (AIMS). Aplicou-se a correlação de Pearson, e nível de significância p-valor <0,05. Resultados: A correlação entre vínculo mãe-filho e grupo é positiva (r=0,330; p=0,022). Os lactentes expostos ao HIV apresentaram menor vínculo mãe-filho (p=0,006). Conclusão: Houve relação entre menor vínculo mãe-filho entre os lactentes expostos ao HIV, mas não houve diferenças em relação ao desenvolvimento motor e as oportunidades domiciliares.

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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.046
GPT teacher head0.330
Teacher spread0.283 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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