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Record W4234864375 · doi:10.20431/2456-057x.0403002

Effects of the Aqueous Extract of Oxalis Barrelieri on Some Murine Models of Acute Depression

2020· article· en· W4234864375 on OpenAlexaff
Ayissi Mbomo, Rigobert Espoir, Christophe Mezui, Nanga Léopold Didier, Ndjock Sébastien, Tene Tandoum, Samuel Boris, Ngoa Manga, Ngo Bum

Bibliographic record

VenueARC Journal of Neuroscience · 2020
Typearticle
Languageen
FieldMedicine
TopicBiochemical effects in animals
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsDepression (economics)Aqueous extractAqueous solutionTraditional medicineChemistryBiologyMedicineEconomics

Abstract

fetched live from OpenAlex

According to a report by the World Health Organization (WHO) and the World Bank Group released on June 12th, 2015, 400 million people do not have access to essential health services and 6% people in low-income countries are exposed to the extreme poverty With three of the Millennium Development Goals calling for improved health, the strategies currently being promoted by WHO are in the direction of security, efficiency, good quality, availability, preservation and good regulation of traditional and complementary medicine in general and more particularly medicinal plants

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.270

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.277
Teacher spread0.256 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2020
Admission routes1
Has abstractyes

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