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Record W3114727886 · doi:10.25761/anaisihmt.103

Rede Brasileira de Pesquisa em Tuberculose - REDE TB

2018· article· pt· W3114727886 on OpenAlexaff
Afrânio Lineu Kritski, Antonio Ruffino-Nettoq, Anete Trajman, Tereza Cristina Scatena Villa, José Roberto Lapa e Silva, David Jamil Hadad, Ethel Leonor Nóia Maciel, Eduardo Martins Netto, Clemax Couto Sant’Anna, Betina Mendez Alcântara Gabardo, Andrea Maciel de Oliveira Rossoniq, Paulo Cesar Basta, Mônica Kramer de Noronha Andrade, Diógenes Santiago Santos, Martha Maria Oliveira, Pedro Eduardo Almeida da Silva

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2018
Typearticle
Languagept
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsMcGill University
Fundersnot available
KeywordsMultidisciplinary approachPolitical scienceCivil societyTuberculosisBusinessEconomic growthPublic relationsMedicinePolitics

Abstract

fetched live from OpenAlex

Apesar do significativo progresso da pesquisa científica relacionada à tuberculose (TB) e outras micobacterioses existentes no Brasil, no início do milénio, o país ainda experimentava uma frágil cooperação entre os diversos atores dessa área: indústria, universidades, institutos de pesquisa, sociedade civil, e serviços de saúde, incluindo o Programa Nacional de Controle da TB (PNCT). Em 2001, a REDE-TB foi criada como um grupo multidisciplinar de pesquisadores e estudantes brasileiros, tendo como parceiros a sociedade civil e representantes dos serviços de saúde que trabalhavam com TB e HIV/Aids em todo o país. A REDE-TB ajudou a construir as pontes necessárias entre estes diferentes atores para promover a pesquisa e atividades educativas de forma integrada. Recentemente, a REDE-TB elaborou o Plano Nacional de Pesquisa em TB. Identificaram-se lacunas e prioridades para as plataformas de pesquisa e inovação focadas nas demandas nacionais. Estas plataformas terão como base a integração da pesquisa básica/clínica/translacional com o parque industrial com vistas a agilizar a disponibilização de novas tecnologias e novas estratégias de gestão para o sistema de saúde. Estas tecnologias serão avaliadas em pesquisas operacionais no âmbito do sistema de saúde vigente no país para analisar seu impacto do ponto de vista individual e coletivo.

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 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)0.011
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.009
Science and technology studies0.0040.012
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.390
Teacher spread0.329 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations7
Published2018
Admission routes1
Has abstractyes

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