MétaCan
Menu
Back to cohort
Record W4293920664 · doi:10.54097/hset.v11i.1382

Potential Health Benefit of Houttuynia Cordata on Inflammation, Cancer and Diabetes

2022· article· en· W4293920664 on OpenAlexaff
Sijia Chen, Qifei Huang

Bibliographic record

VenueHighlights in Science Engineering and Technology · 2022
Typearticle
Languageen
FieldMedicine
TopicNephrotoxicity and Medicinal Plants
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHouttuynia cordataInflammationDiabetes mellitusMedicineCancerTraditional medicineCancer preventionDiseasePharmacologyOncologyInternal medicineEndocrinologyChemistry

Abstract

fetched live from OpenAlex

In Asian areas, Houttuynia cordata thunb (HCT) has traditionally been utilized as medication. Recent research reveals the bioactive ingredients in HCT and tests its efficacy to counter several diseases using the HCT extract. In this article, we focus on HCT’s potency in treating inflammation, cancer, and diabetes. Collectively, the data suggests HCT can effectively reduce inflammation, promote apoptosis in cancer cells, smoothen symptoms of diabetes and increase glucose tolerance. These findings are essential for the future development of drugs targets at those disease. More research is needed to further unveil the mechanisms behind HCT pharmaceutical efficacy.

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)0.000
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 score0.267
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.007
GPT teacher head0.242
Teacher spread0.235 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueHighlights in Science Engineering and TechnologySame topicNephrotoxicity and Medicinal PlantsFrench-language works237,207