MétaCan
Menu
Back to cohort
Record W2133084708 · doi:10.18433/j35g6m

Examining the cognitive effects of a special extract of Bacopa monniera (CDRI08: Keenmnd): A review of ten years of research at Swinburne University

2013· review· en· W2133084708 on OpenAlex
Con Stough, Andrew Scholey, Vanessa Cropley, Keith Wesnes, A Zangara, Matthew P. Pase, Karen Savage, Karen Nolidin, Luke A. Downey

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Pharmacy & Pharmaceutical Sciences · 2013
Typereview
Languageen
FieldMedicine
TopicMedicinal Plants and Neuroprotection
Canadian institutionsnot available
FundersAustralian Research CouncilScience Foundation IrelandMenzies Foundation
KeywordsTraditional medicineAyurvedic medicineCognitionHuman studiesMedicinePsychiatry

Abstract

fetched live from OpenAlex

Bacopa monniera (EBm), an Indian aquatic herb, has been used in traditional Ayurvedic medicine for centuries for indications related to memory and inflammation. More recently specific extracts of EBm have emerged that have been subjected to rigorous in vitro, animal and now human clinical trials. In this paper we discuss some of these studies with special reference to mechanisms and efficacy of a special extract of Bacopa (CDRI08). Studies using this extract indicate that CDRI08 has several modes of action on the human brain. Promising indications for use in humans include improving cognition in the elderly and in patients with neurodegenerative disorders.

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.

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)0.006
metaresearch head score (Gemma)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.315
GPT teacher head0.502
Teacher spread0.186 · 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