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Record W2985197001 · doi:10.1016/j.dib.2019.104787

Data on the endogenous conversion of tyrosol into hydroxytyrosol in humans

2019· article· en· W2985197001 on OpenAlexafffund
Anna Boronat, Julián Mateus, Natalia Soldevila‐Domenech, Mercè Guerra, José Rodríguez-Morató, Carlota Varon, Daniel Muñoz, Francina Barbosa, Juan Carlos Morales, A GAEDIGK, Klaus Langohr, María‐Isabel Covas, Clara Pérez‐Mañá, Montserrat Fitó, Rachel F. Tyndale, Rafael de la Torre

Bibliographic record

VenueData in Brief · 2019
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersH2020 Marie Skłodowska-Curie ActionsInstituto de Salud Carlos IIICanadian Institutes of Health ResearchGeneralitat de CatalunyaInstituto Nacional de CiberseguridadCentro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y NutriciónDepartament d'Innovació, Universitats i Empresa, Generalitat de CatalunyaCanada Research Chairs
KeywordsHydroxytyrosolTyrosolEndogenyCrossover studyRandomized controlled trialMedicineInternal medicinePharmacologyPlaceboBiologyFood scienceBiochemistryPolyphenolPathology

Abstract

fetched live from OpenAlex

genotypes, and the effects on cardiovascular risk markers. For further details and experimental findings please refer to the article "Cardiovascular benefits of tyrosol and its endogenous conversion into hydroxytyrosol in humans. A randomized, controlled trial" [1].

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.246
GPT teacher head0.431
Teacher spread0.184 · 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 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

Citations8
Published2019
Admission routes2
Has abstractyes

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