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Record W2958840089 · doi:10.25176/rfmh.v19i3.2176

Sarampión amenaza reemergente de epidemia en el Perú

2019· article· es· W2958840089 on OpenAlexaboutno aff
Manuel Loayza, Jhony A. De La Cruz‐Vargas

Bibliographic record

VenueRevista de la Facultad de Medicina Humana · 2019
Typearticle
Languagees
FieldMedicine
TopicVirology and Viral Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMeaslesVaccinationTransmission (telecommunications)GeographyImmunizationMedicineSocioeconomicsDemographyVirologyImmunologyImmune system

Abstract

fetched live from OpenAlex

Measles, considered one of the most contagious transmissible infections due to its high potential epidemic risk of transmission, remains a focus of concern in the world due to the increase in cases and its consequent morbidity and mortality. The rash usually starts on the face, and in a centrifugal way it spreads to the trunk and extremities. Although the disease determines a strong humoral and cellular immune response stimulating specific immunity for life, it produces at the same time an important immunosuppression that lasts several weeks increasing the susceptibility to secondary infections. Measles was considered eliminated from the Americas since 2002 because to the absence of endemic transmission of the disease in the region; achievement achieved by regional efforts to achieve high vaccination coverage through regular immunization programs and mass vaccination campaigns. However, until April 2019 the Pan American Health Office reported that 12 countries reported confirmed cases: Argentina, Bahamas, Brazil, Canada, Chile, Colombia, Costa Rica, United States of America, Mexico, Peru, Uruguay and Venezuela. 09 countries reported cases imported from countries outside the Region with different genotypes. Also, between January 1 and April 11, 2019, 5556 cases of measles were confirmed in 20 States of the United States.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.013
GPT teacher head0.355
Teacher spread0.343 · 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 designObservational
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
Published2019
Admission routes1
Has abstractyes

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