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Record W4310889476 · doi:10.48195/sepe2022.26139

PREVALÊNCIA DE PARTOS EM ADOLESCENTES NO MUNICÍPIO DE SÃO GABRIEL - RS

2022· article· pt· W4310889476 on OpenAlexaff
LENARA MARCHESAN, TAINá RIBAS DE MORAES, LUCIANO SAMANIEGO ARRUSSUL, DéBORA DICKEL DE JESUS PESSôA, Regina Celia de Castro Gomes, CAROLINA ARAUJO LONDERO, Luciane Najar Smeha

Bibliographic record

VenueAnais do Simpósio de Ensino, Pesquisa e Extensão (SEPE 2022) · 2022
Typearticle
Languagept
FieldHealth Professions
TopicMaternal and Neonatal Healthcare
Canadian institutionsChild, Adolescent and Family Mental Health
FundersUNICEF
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

RESUMOO trabalho tem como objetivo investigar quantas adolescentes realizaram parto no ano de 2019 no municipio de São Gabriel, interior do RS.O estudo caracteriza-se como uma pesquisa investigatória de natureza quantitativa baseado nos dados públicos do município em estudo, disponibilizados no site de pesquisa do Ministério da Saúde, DATASUS.Através dos dados encontrados, percebeu-se que o total de partos no periodo em estudo é de 792, sendo 114 em adolescentes.Esses dados servirão de base para a equipe multidisciplinar da saúde do município para a realização de futuras orientações à população de adolescentes, pensando em métodos para evitar a gestação na adolescência.

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 score0.113
Threshold uncertainty score0.224

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.029
GPT teacher head0.353
Teacher spread0.323 · 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
Published2022
Admission routes1
Has abstractno

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