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<b>Perfil obstétrico de usuárias do Sistema Único de Saúde após implantação da Rede Mãe Paranaense/Obstetric profile of public health system users after implantation of the Network Mother from the State of Paraná-Brazil<b>

2016· article· pt· W2396485139 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCiência Cuidado e Saúde · 2016
Typearticle
Languagept
FieldHealth Professions
TopicMaternal and Neonatal Healthcare
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Este estudo teve por objetivo descrever o perfil sociodemográfico e obstétrico das puérperas residentes em Maringá, atendidas pela Rede Mãe Paranaense. Estudo descritivo realizado com 592 puérperas por meio de entrevista, consulta ao cartão da gestante e prontuário hospitalar, entre 2013 e 2014. Encontraram-se, em sua maior parte, mulheres pardas (44,8%), com ensino médio completo (46,1%), a maioria em união estável (86,3%), e ocupação remunerada (52,0%). Das entrevistadas, 67,8% iniciaram precocemente o pré-natal e 74,0% realizaram sete ou mais consultas. Entretanto, apenas 35,3% planejaram a gravidez, 38,3% participaram de grupos de gestantes e 67,7% foram classificadas quanto ao risco gestacional. Das intercorrências na gestação, a infecção do trato urinário (37,3%), anemia (27,2%) e hipertensão arterial (19,3%) foram as mais frequentes. Devido à alta prevalência de gravidez na adolescência (17,2%), parto cesáreo (57,3%), nascimento prematuro (13,7%), e uso de drogas de abuso durante a gestação (20,6%), evidenciou-se a necessidade de direcionamento da atenção, com vistas à promoção da saúde do binômio mãe-filho.

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.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.181
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
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 head0.045
GPT teacher head0.321
Teacher spread0.275 · 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