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Record W4205534185 · doi:10.46848/950044

PESQUISA EXPLORATÓRIA COM INDICADORES DE SAÚDE ASSOCIADOS AO ATENDIMENTO POR ESGOTAMENTO SANITÁRIO NA ÁREA METROPOLITANA DE BRASÍLIA

2021· dissertation· pt· W4205534185 on OpenAlexaff
Ricardo Tezini Minoti

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldSocial Sciences
TopicDiverse Global Research Studies
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

O objetivo deste estudo consiste em analisar espacialmente a variabilidade dos indicadores de saúde associados ao atendimento por saneamento básico na Área Metropolitana de Brasília (AMB) por meio de geoprocessamento, no período de 2007 a 2019.Utilizou em sua metodologia a análise espaço-temporal a partir de operações e ferramentas de um Sistema de Informações Geográficas para organizar, cruzar e sobrepor os dados de saneamento do SNIS e dados de saúde do SINAN para compreender a relação entre saúde e saneamento na região.A partir dos resultados das análises da associação de dengue e leptospirose com a cobertura de saneamento, não foi possível verificar se de fato a relação saúde-saneamento se estabelece nessa região.No entanto, o estudo evidencia as diferenças nos indicadores de saneamento na região e a necessidade de diminuição das desigualdades visando à melhoria das condições de saúde da população.

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)0.003
metaresearch head score (Gemma)0.008
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 score0.202
Threshold uncertainty score0.402

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.052
GPT teacher head0.388
Teacher spread0.336 · 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
Published2021
Admission routes1
Has abstractyes

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Same topicDiverse Global Research StudiesFrench-language works237,207