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Record W4378422103 · doi:10.29327/1237179.21-3

SÍNDROME DE ABSTINÊNCIA NEONATAL: AS CONSEQUÊNCIAS DA EXPOSIÇÃO PRÉ NATAL À COCAÍNA

2023· article· pt· W4378422103 on OpenAlexaff
Karla Gomes Da Silva, Victoria Gomes da Silva, Pablo Henrique Camargo Lima, J. M. Pinto, André Anderson Soares Souza, Vinicius Barroso De Sousa

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsCanadian Centre on Substance Use and Addiction
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

ResumoO consumo de crack e cocaína durante a gestação causa problemas tanto maternos quanto fetais, uma vez que, o uso dessas substâncias atravessa a barreira placentária promovendo um quadro de hiperestimulação do sistema nervoso.Os sinais clínicos geralmente se desenvolvem nos primeiros dias após o nascimento repercutindo em sintomas autonômicos, neurológicos e até gastrointestinais.Esse conjunto de sinais e sintomas exibidos pelo neonato após a interrupção da exposição gestacional à cocaína é conhecida como síndrome de abstinência neonatal (NAS).O objetivo desse estudo foi realizar uma revisão sistemática da literatura a fim de apresentar os efeitos físicos e psicológicos da síndrome de abstinência neonatal.Todavia, é sabido que as consequências para o neonato são múltiplas, mas a gravidade dos sintomas depende do tempo de exposição, da quantidade de substância consumida, bem como o acompanhamento feito pela mulher durante a gestação.

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)0.002
metaresearch head score (Gemma)0.016
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.298
Teacher spread0.273 · 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
Published2023
Admission routes1
Has abstractyes

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