MétaCan
Menu
← Back to cohort

Efeitos da vacinação contra febre amarela sobre a gestação em camundongos

2010· dissertation· pt· W1536313345 on OpenAlexaff
Fernanda Carini da Silva

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

O risco de transmissão placentária para o feto, associados à susceptibilidade de neuroinvasão pelo vírus 17D levaram à recomendação de que a vacina contra febre amarela (FA) não fosse administrada durante a gravidez. Pretendeu-se avaliar o efeito desta no desempenho gestacional de camundongos prenhes. Os resultados mostraram decréscimo na viabilidade fetal causado pela vacinação. Reatividade ao antígeno da FA foi observada nos tecidos hepáticos maternos e de fetos vivos. Na placenta, o antígeno viral não foi observado na barreira materno-fetal. Nos fetos natimortos e em reabsorção, esta passagem pareceu mais acentuada; reatividade foi observada em diversos órgãos. O antígeno viral foi detectado em todas as regiões placentárias. A detecção de RNA viral nas amostras indica que há atividade viral nos tecidos fetais. Nossos achados indicam que há fases gestacionais mais susceptíveis à infecção viral vacinal e que podem determinar perdas fetais. A presença do antígeno e de atividade viral no fígado fetal sugere que o vírus vacinal é transmitido da mãe para o feto.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

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)0.0030.000

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 head0.014
GPT teacher head0.295
Teacher spread0.282 · 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 designBench or experimental
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
Published2010
Admission routes1
Has abstractyes

Explore more

Same topicGlobal Maternal and Child Health→French-language works237,207→