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Record W4292951000 · doi:10.3407/rpn.v5i2.6883

Extractos de plantas de la región Caribe colombiana contra larvas del mosquito vector del dengue, zika y chikungunya.

2022· article· es· W4292951000 on OpenAlexvenueno aff
Andrés Felipe Oliveros-Díaz, José Cerra-Domínguez, Yina Pájaro-González, Julián Cabrera-Barraza, Winston Quiñones-Fletcher, Fredyc Díaz-Castillo

Bibliographic record

VenueRevista Productos Naturales · 2022
Typearticle
Languagees
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsnot available
FundersDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
KeywordsChikungunyaDengue feverZika virusVector (molecular biology)BiologyVirologyAedes aegyptiAedesYellow feverHumanitiesVirusLarvaPhilosophy

Abstract

fetched live from OpenAlex

El mosquito Aedes aegypti, es el principal vector de los virus del Dengue, Zika y Chikungunya. Debido a la inexistencia de vacunas para estas enfermedades, los insecticidas sintéticos han sido, las principales herramientas para controlar el vector y evitar la propagación de los virus.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.250
Teacher spread0.244 · 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 teacher head, not a consensus.

Study designBench or experimental
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
Published2022
Admission routes1
Has abstractyes

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