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Editorial

2017· editorial· es· W4241161959 on OpenAlexaboutno aff
Gisele Regina de Azevedo

Bibliographic record

VenueRevista Estima · 2017
Typeeditorial
Languagees
FieldMedicine
TopicStoma care and complications
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesLibrary scienceStrengthening the reporting of observational studies in epidemiologyChecklistPolitical sciencePsychologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Caros colegas,A partir do próximo ano a Revista Estima estará disponível apenas no formato eletrônico, como parte de um grande projeto de melhoria de nossos indicadores e de inserção em novas bases de dados.Para isso, a única revista de estomaterapia da América Latina precisa ter mais espaço para artigos originais, além de estar disponível em inglês e espanhol, com vistas à ampla divulgação entre os enfermeiros das Américas. Para aqueles que estão em fase de elaboração de seus projetos, bem como os coordenadores de cursos de Estomaterapia e orientadores de trabalhos de pesquisa na área, adiantamos que a utilização de alguns guias poderá facilitar a escrita do artigo e consequentemente sua publicação nesta ou em outras revistas. Destacamos aqui para estudos qualitativos o acesso ao guia Consolidated Criteria for Reporting Qualitative Research Checklist (COREQ) (http://cdn.elsevier.com/promis_misc/ISSM_COREQ_Checklist.pdf ) e o Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) para os casos de estudos epidemiológicos (https://www.strobe-statement.org/index.php?id=strobe-home).Ademais, os ensaios clínicos devem obter o Registro de Aprovação de Ensaios Clínicos, por intermédio da página virtual http://www.ensaiosclinicos.gov.br, além de seguir os princípios éticos destacados no Committee on Publication Ethics (COPE) (https://publicationethics.org/files/Principles_of_Transparency_and_Best_Practice_in_Scholarly_Publishingv2.pdf ) e a observação rigorosa das normas Vancouver (http://www.icmje.org/icmje-recommendations.pdf ). Enfim, essas mudanças farão com que todos os estudos publicados possam obter muito mais alcance e visibilidade, com ganho significativo para os autores, para a revista e para a estomaterapia.Boa leitura e um grande abraço,Profa. Dra. Gisele Regina AzevedoEditora

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)0.000
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.004

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 head0.021
GPT teacher head0.345
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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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
Published2017
Admission routes1
Has abstractyes

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