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 – Chronic pain research delves into the brain KOREA – STC life, Ltd. successfully treats stroke patients at Stem Cell Research Treatment Center MALAYSIA – Indigenous people ‘at graver risk’ of neglected diseases SINGAPORE – A*STAR scientists create stem cells from a drop of blood THE PHILIPPINES – ‘Too many exotic species’ in Philippine greening plan AFRICA – The parasite that escaped out of Africa CANADA – Genome British Columbia researchers closing in on chlamydia vaccine EUROPE – Teesside University pioneering life-saving research EUROPE – Inactivated polio vaccines broadly available for the world's children in the drive toward polio eradication EUROPE – Vitamin D deficiency may compromise immune function EUROPE – Inflammation mobilizes tumor cells NEPAL – Animal-borne parasites plague Nepal UNITED STATES – Zebrafish discovery may shed light on human kidney function UNITED STATES – Nanoparticles and magnetic fields train immune cells to fight cancer in mice UNITED STATES – Building heart tissue that beats UNITED STATES – Immunology researchers uncover pathways that direct immune system to turn ‘on’ or ‘off’ UNITED STATES – How diabetes drugs may work against cancer UNITED STATES – Study reveals how a protein common in cancers jumps anti-tumor mechanisms
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 | 0.000 | 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 | 0.001 |
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