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Motor development in non-microcephalic infants born to mothers with Zika Virus infection during pregnancy

2020· article· en· W3046650336 on OpenAlexaboutno aff
Laí­s Rodrigues Gerzson, Carla Skilhan de Almeida, Juliana Herrero da Silva, Lavínia Schüler‐Faccini

Bibliographic record

VenueFisioterapia e Pesquisa · 2020
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsnot available
FundersInstituto Nacional de Genética Médica PopulacionalCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado do Rio Grande do SulConselho Nacional de Desenvolvimento Científico e TecnológicoMinistério da SaúdeMinistério da Educação
KeywordsMicrocephalyZika virusGross motor skillPregnancyMedicineHead circumferenceObstetricsPediatricsGestational ageMotor skillVirusBiologyImmunology

Abstract

fetched live from OpenAlex

ABSTRACT This cross-sectional study sought to evaluate motor development in infants exposed to ZIKV born with normal head circumference (HC). Thirty one children, distributed into two groups, participated in the study: 15 whose mothers were infected by ZIKV during pregnancy, born with HC from −1.9 to +2 Z-scores, adjusted for sex and gestational age (exposed group); and 16 randomly selected infants without known prenatal exposure to ZIKV, paired by sex and age (control group). Alberta Infant Motor Scale (AIMS) was used to evaluate gross motor development. We found no significant difference between the exposed and control groups. However, considering that AIMS is a screening test that assesses only the gross motor development and the small size of our sample, infants exposed to ZIKV during pregnancy should be continuously evaluated for different aspects of their development.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.240
Teacher spread0.231 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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