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
AUSTRALIA — Australian Scientist Awarded $1M for Gene Therapy Research. AUSTRALIA — $900,000 Multiphoton Microscope Unveiled at Sydney's Centenary Institute. AUSTRALIA — Australian Stem Cell Scientist on Target to Prevent Age-related Loss of Brain Function. CHINA — Chinese Scientists Complete Successful Greenhouse Breeding of a Medicinal Herb. CHINA — China Aoxing Pharmaceutical Designated as Key Manufacturer of Cancer Pain Drug, Tilidine. CHINA — Chinese Neuropsychologist Makes Novel Progress in Studies of Schizophrenia. JAPAN — Vetter Receives Japanese Certificates of Accreditation of Foreign Manufacturer. INDIA — Heart Problems to Take Epidemic Form in India. INDIA — Scientists Discover the Most Important Candidate Genes for Pancreatic Stone Formation. INDIA — India and Canada to Collaborate on Pharma Opportunities. INDIA — Tata Drug Development Center Opens in Bangalore. NEW ZEALAND — A Squid Gel Commands Global Attention. SINGAPORE — Singapore's National Cancer Center Launches Its First Satellite Clinic. SINGAPORE — Lien Foundation to Develop Electronic Healthcare System. TAIWAN — STUT Study Reveals Mushroom Good for Ovarian Cysts.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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