MétaCan
Menu
Back to cohort

Congenital Zika infection: neurology can occur without microcephaly

2018· letter· en· W2806144513 on OpenAlexaboutno aff
Taíssa Ferreira Cardoso, Rosana Silva dos Santos, Raquel Miranda Correa, Juliana Vieira Campos, Ricardo de Bastos Silva, Christine Castinheiras Tobias, Arnaldo Prata‐Barbosa, Antônio José Lêdo Alves da Cunha, Halina Cidrini Ferreira

Bibliographic record

VenueArchives of Disease in Childhood · 2018
Typeletter
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMicrocephalyZika virusNeurologyPediatricsVirologyPsychiatry

Abstract

fetched live from OpenAlex

The fetal repercussions of Zika virus (ZIKV) infection during pregnancy is of interest for maternal and child health.1 Studies on the psychomotor and neurodevelopment of children exposed in utero to arboviruses, especially non-microcephalic children, are lacking. At a maternity university hospital in Brazil, we started following the development of children, without microcephaly, born to mothers infected with ZIKV during pregnancy, searching for early warning signs of abnormalities. A normal head circumference for term newborns was defined, according to the 2016 WHO recommendation, as higher than 31.9 cm for boys and higher than 31.5 cm for girls.2 We used the Alberta Infant Motor Scale for the evaluation of motor development, and the Denver II test for tracking development in personal/social, fine motor/adaptive, language …

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.240
Teacher spread0.233 · 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 teacher head, not a consensus.

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

Citations41
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueArchives of Disease in ChildhoodSame topicMosquito-borne diseases and controlFrench-language works237,207