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Record W4226208803 · doi:10.29166/quimica.v7i2.3332

Evaluación de la actividad nootrópica del ácido clorogénico presente en el café para el tratamiento preventivo de enfermedades neurodegenerativas

2021· article· es· W4226208803 on OpenAlexaff
Elda Molina Jaramillo, Elithsine Espinel, Dayana Borja, Javier Santamaría, Carmita I. Reyes, Jorge Grijalva, Roy Vera

Bibliographic record

VenueQuímica Central · 2021
Typearticle
Languagees
FieldMedicine
TopicGinkgo biloba and Cashew Applications
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsArtHumanitiesMedicine

Abstract

fetched live from OpenAlex

El aumento de enfermedades neurodegenerativas ha conducido a la búsqueda de productos con actividad nootrópica para la prevención o tratamiento de esas patologías. En este estudio buscamos evaluar la actividad nootrópica del extracto de la pulpa del café arábica (Coffea arabica) en mamíferos menores. En la primera fase se cuantificaron los fenoles totales en la pulpa de café mediante el método Folin Ciocalteu extraídos con maceración dinámica y asistida. Los datos se analizaron mediante adeva y la prueba posthoc de Duncan. En la segunda fase se utilizaron 24 ratones (Mus musculus) de 32,5 g de peso promedio.Los ratones fueron divididos en cuatro grupos y asignados a los siguientes tratamientos: agua (control negativo), ginkgo biloba (control positivo) y dos dosis de extracto de pulpa de café. Los ratones se sometieron a pruebas de aprendizaje en el laberinto acuático de Morris y el laberinto radial de 8 brazos. Se registró el tiempo de latencia y el tiempo que demoraron los ratones en visitar los 8 brazos del laberinto. El extracto de la pulpa de café arábica refleja actividad nootrópica, cuya dosis 100 mg/kg de peso/día de ácido clorogénico (acg) contribuye al mejoramiento de las propiedades cognitivas.

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)
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 score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.366
Teacher spread0.347 · 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
Published2021
Admission routes1
Has abstractyes

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