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Record W4390954250 · doi:10.12961/aprl.2024.27.01.02

El sello de calidad FECYT, un reconocimiento y un estímulo para Archivos

2024· editorial· es· W4390954250 on OpenAlexaff
Francisco Vega, Andrés A. Agudelo‐Suárez, Francisco Brocal, George L. Delclos, Guillermo García González, Vega García López, José María Ramada, Laura Serra, Sergio Vargas-Prada, Mireia Utzet, Cònsol Serra

Bibliographic record

VenueArchivos de Prevención de Riesgos Laborales · 2024
Typeeditorial
Languagees
FieldHealth Professions
TopicHealth and Medical Education
Canadian institutionsCanadian Air Transport Security Authority
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Un año más, mediante esta nota editorial, damos cuenta de las estadísticas y los principales avances de nuestra revista. En cuanto a las estadísticas editoriales, que se detallan en los apartados posteriores, podemos afirmar que son las de una revista consolidada: flujo nutrido y constante de trabajos recibidos/publicados, tasas de aceptación y rechazo proporcionadas, tiempos de gestión razonables y diversidad en las autorías. El logro más destacable del 2023 fue superar con éxito el proceso de evaluación de la Octava edición de Evaluación de la calidad editorial y científica de las revistas científicas españolas, comúnmente conocido como ‘Sello FECYT’…

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)0.009
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.344
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.020
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0030.011
Insufficient payload (model declined to judge)0.0010.002

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 head0.031
GPT teacher head0.424
Teacher spread0.393 · 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
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

Citations1
Published2024
Admission routes1
Has abstractyes

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