MétaCan
Menu
Back to cohort

Investigating the Anti-Cancer Properties of 6-Shogaol in Zingiber officinale

2022· review· en· W4294073679 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCritical Reviews™ in Oncogenesis · 2022
Typereview
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicGinger and Zingiberaceae research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsZingiber officinaleTraditional medicineCancerColorectal cancerMedicineApoptosisBiologyInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Cancer is ranked as the first or second cause of death in 112 countries across the world with an estimated 19.3 million new cases of cancer along with 10 million deaths occurring in 2020. Colon cancer is the second most common cancer in women and the fourth most common cancer worldwide. Investigating methods to reduce or prevent cancer through natural and holistic processes are becoming more of a common research topic around the world. Influenced through traditional Chinese medical practices and Ayurvedic medicine, scientists are now exploring anticancerous compounds present in plants and foods used in these cultures. For instance, ginger (Zingiber officinale) has been used for centuries all over Asia for medicinal purposes and contains anticancer compounds. Our review focuses on one of ginger's constituents, 6-shogaol, and its role in colon cancer. We found that 6-shogaol has a significant effect on apoptosis by influencing caspase pathways and cell cycle arrest.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.609
GPT teacher head0.589
Teacher spread0.021 · 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