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Record W3042635881 · doi:10.18569/tempus.v14i1.2630

GASTO FEDERAL COM AÇÕES DE SAÚDE BUCAL NO SISTEMA ÚNICO DE SAÚDE NO PERÍODO DE 1995 A 2013

2020· article· pt· W3042635881 on OpenAlexaff
Cínthia Sampaio Cristo, Áquilas Mendes, Paulo Frazão, Paulo Capel Narvai

Bibliographic record

VenueTempus Actas de Saúde Coletiva · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicPublic Health in Brazil
Canadian institutionsCascades (Canada)
Fundersnot available
KeywordsPolitical scienceHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

Uma inflexão significativa marcou, em 2004, a Política Nacional de Saúde Bucal, que passou a contar com mais recursos do governo federal. Neste estudo, de avaliação econômica em saúde, são analisadas as características dos aportes financeiros a essa política no período de 1995 a 2013, com vistas a identificar aproximações e afastamentos entre os diferentes governos. Foram utilizados dados secundários e o desenvolvimento e aplicação de um método para recuperar, processar e apurar as frações relativas aos gastos específicos com saúde bucal, tornou viável a análise. Os resultados elucidam dados conflitantes na literatura sobre o dimensionamento desses recursos. Constatou-se que houve relativa estabilidade no gasto público federal entre 1995 e 2002, cuja média anual foi de R$ 689,9 milhões e aumento entre 2003 e 2013, com o volume médio de recursos alcançando R$ 1,05 bilhão. A diferença entre os aportes correspondeu a um aumento de 51,5%. A fração odontológica no gasto total com saúde no orçamento do Ministério da Saúde passou de 1,22% no período de 1995 a 2002 para 1,49% entre 2003 e 2013, um aumento de 0,27 pontos percentuais ou 22% da fatia inicial.

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)0.010
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 score0.350
Threshold uncertainty score0.697

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.007
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.044
GPT teacher head0.334
Teacher spread0.290 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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