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Record W3094290456 · doi:10.6035/monti.2018.10

Retos actuales y tendencias emergentes en traducción médica

2018· paratext· es· W3094290456 on OpenAlexfundno aff

Bibliographic record

VenueMonTi Monografías de Traducción e Interpretación · 2018
Typeparatext
Languagees
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
FundersUniversidade Federal do Rio Grande do SulFundação de Amparo à Pesquisa do Estado do Rio Grande do SulMinisterio de Economía y CompetitividadSocial Sciences and Humanities Research Council of CanadaCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsComputer science

Abstract

fetched live from OpenAlex

Part d'aquesta recerca s'ha realitzat en el marc dels projectes "La mejora de la comunicacin clnica interlingstica e intercultural: nuevas metodologas para la formacin de los profesionales sanitarios" (FFI2015-67427-P) i "Estudio del Consentimiento Informado y la Consulta Mdica en los contextos espaol y britnico: nuevas metodologas para la mejora de la comunicacin clnica" (P11B2015-73) finanats respectivament pel Ministeri d'Economia i Competitivitat d'Espanya i per la Universitat Jaume I.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, 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: Empirical · Consensus signal: none
Teacher disagreement score0.469
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0020.001
Science and technology studies0.0020.004
Scholarly communication0.0030.001
Open science0.0040.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0350.011

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 head0.019
GPT teacher head0.290
Teacher spread0.272 · 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
Published2018
Admission routes1
Has abstractyes

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