Ilex Paraguariensis (Yerba Mate) Infusions and Risk of Oral Cancer: A Structured Literature Review
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.
Bibliographic record
Abstract
Background and Objective: Since the emergence of widespread globalization, several food and beverage choices traditionally isolated to a single culture have spread across national/cultural lines. One such export is a traditional South American beverage called mate, an infusion made from the Ilex paraguariensis plant that is consumed widely in Argentina (where it is defined by law as the official national infusion), Uruguay, Paraguay, Brazil, and southern Chile. Recently, infusions of Ilex paraguariensis have become increasingly popular in the United States, Canada and some parts of the Middle East including Lebanon and Syria. Advocates note that it contains antioxidants and a variety of vitamins (2). Furthermore, mate contains a variety of phenolic consituents (4). However, recent research has discovered a possible link between the consumption of mate and oral cancer. As such, the objective of this analysis is to investigate the association between oral cancer and habitual consumption of Ilex paraguariensis infusions. Methods: A structured literature review was conducted using PubMed, Scopus, ScienceDirect and CINAHL. Primary research through 2015 was included; all reviews were excluded. Keywords used were “ilex paraguariensis”, "yerba mate”, “yerba”, “cancer”, “neoplasm”, “neoplasia”, “tumor”, and “tumour”. Articles investigating associations between Ilex paraguariensis infusion consumption and non-oral cancers were excluded.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it