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Record W6999160744

Conferencia online: Brasil tras el coronavirus

2020· other· es· W6999160744 on OpenAlexaboutno aff

Bibliographic record

VenueRepositorio Académico UPC (Universidad Peruana de Ciencias Aplicadas) · 2020
Typeother
Languagees
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthCoronavirus disease 2019 (COVID-19)Field (mathematics)Population
DOInot available

Abstract

fetched live from OpenAlex

Embajador Afonso José Sena Cardoso: Diplomático brasilero retirado luego de 50 años de servicios en el Ministerio de Relaciones Exteriores. Embajador en Irlanda y Angola, Cónsul General en Toronto, Canadá, Coordinador Nacional para MERCOSUR, Coordinador Nacional para Cumbres Políticas Plurilaterales, Delegado ante Consejo de Seguridad de Naciones Unidas, miembro de la delegación de BRASIL a Asambleas Generales de Naciones Unidas, Representante Alterno de Brasil ante ALADI, así como otras posiciones dentro de la Cancillería, donde se inició como Tercer Secretario.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.617
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0030.006
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0070.002
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0080.015

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 head0.291
Teacher spread0.261 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

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