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
Cancer remains one of the biggest challengesin the 21st century, therefore anti-cancer drugs and their delivery systems are under developing for better treatment. Tea is the amazing gift nature offered to us with great health benefits. Tea polyphenols especially EGCG and Theoflavins have widely been studied and expected to be a very promising nature polyphenol for the prevention of cancer, cardiology disease, aging, weight control etc. Here“Dr. Tea summarized the past studies about tea and cancer prevention, through the chemical composition, structure, epidemiologic study and mechanism analysis. And based on the epidemiologic study results, a layer-by-layer multi-functional drug delivery system and synergy studies based on our past scientific working experience had been proposed for future tea and cancer research. A Healthy, Harmony, Pure & Nature tea-style of living is proposed for all human-beings towards a better living self and a better society.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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