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Record W4415440903 · doi:10.51573/andes.9789586958639

Manual de citas & referencias bibliográficas. APA - CHICAGO - IEEE - MLA - VANCOUVER

2013· book· W4415440903 on OpenAlexaboutno aff
Nicolás Vaughan, Ella Suárez, Margarita Pérez, Felipe Castañeda

Bibliographic record

VenueEdiciones Uniandes eBooks · 2013
Typebook
Language
FieldComputer Science
TopicInformation Architecture and Usability
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Term (time)

Abstract

fetched live from OpenAlex

Este manual recoge los sistemas de citas y referencias bibliográficas más relevantes de las diferentes disciplinas académicas. Está diseñado como un instrumento de fácil comprensión y aplicación, para la redacción de todo tipo de textos académicos. Incluye, además, un capítulo dedicado a los manejadores de referencias bibliográficas, tales como EndNote y Biblatex, herramientas novedosas y fundamentales en la administración de la bibliografía.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.216
Threshold uncertainty score0.722

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0140.016
Science and technology studies0.0030.002
Scholarly communication0.0120.007
Open science0.0030.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2160.204

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 head0.030
GPT teacher head0.269
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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".

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Citations0
Published2013
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