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Requisitos uniformes para originais submetidos a Revistas Biomédicas

2023· article· pt· W4316589292 on OpenAlexaffabout
Linda Hawes Clever, Lois Ann Colaianni, Frank Davidoff, Richard M. Glass, George D. Lundberg, Richard Horton, Magne Nylenna, R. G. Robinson, Richard T. Smith, Bruce P. Squires, Robert D. Utiger, Martin VanDer Weyden, Patricia Woolf

Bibliographic record

VenueRevista Brasileira de Cancerologia · 2023
Typearticle
Languagept
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsCanadian Medical Association
Fundersnot available
KeywordsHumanitiesPsychologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Um pequeno grupo de editores de revistas da área médica reuniu-se informalmente em Vancouver, Colúmbia Britânica, em 1978, para estabelecer diretrizes para o formato dos originais submetidos a suas revistas. Esse grupo ficou conhecido como o Grupo de Vancouver. Seus requisitos para apresentação de originais, que incluíam os formatos de referências bibliográficas desenvolvidos pela Biblioteca Nacional de Medicina (National Library of Medicine - NLM), foram publicados pela primeira vez em 1979. O Grupo de Vancouver se expandiu e evoluiu para o Comitê Internacional de Editores de Revistas Médicas (International Committee of Medical Journal Editors - ICMJE), que se reúne anualmente. Gradualmente, este comitê vem ampliando seus alvos de atenção. O comitê produziu quatro edições prévias dos requisitos uniformes. Ao longo dos anos, surgiram questões que vão além da preparação dos originais. Algumas delas são tratadas agora nos requisitos uniformes; outras são contempladas em pareceres separados. Cada parecer foi publicado em uma revista científica; todos estão reproduzidos no final deste artigo.

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)0.008
metaresearch head score (Gemma)0.058
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.058
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.005
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.005

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 head0.167
GPT teacher head0.436
Teacher spread0.269 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

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