Bibliographic record
Abstract
AUSTRALIA – Tissue Engineering Hopes for Mastectomy Patients. AUSTRALIA – Special Repair Enzyme in Kangaroos May Cure Skin Cancer. AUSTRALIA – World's First Transgenic Sweet Sorghum. AUSTRALIA – New Test Finds Chink in Cancer's Armor. AUSTRALIA – Major Advance in Human Antibody Therapy against Deadly Nipah Virus. AUSTRALIA – Centre of Kinomics to Open "Pandora's box" of Drug Development. CHINA – H1N1 Influenza Death Toll Triples in China. CHINA – China Okays GMO Rice Strain. CHINA – Largest-Ever Liver Proteins Database – Roadmap to Treatments for Hepatitis. CHINA – Two Longevity Genes Found. CHINA – China and WHO Set Up Influenza Research Center in Beijing. INDIA – Knowledge-Based Biotech Park in Himachal Pradesh. INDIA – 25 Years On, Bhopal Water Still Toxic. INDIA – Stem Cell Business Booms in India. SINGAPORE – Genetic Mapping on World's Largest Ethnic Population Yields Invaluable Information. SINGAPORE – Breakthrough Method to Study 3D Whole Genome Mapping. SINGAPORE – Cord Blood Proves Positive for Cerebral Palsy Treatment. SINGAPORE – Singapore the First in Asia to Launch New Biologic Treatment for Psoriasis. SINGAPORE – Dealing with Climate Change at the 2010 World Cities Summit in Singapore. SINGAPORE – Greater Cooperation on TCM Between Singapore and China. TAIWAN – Patterns in Dengue Fever Outbreaks Identified. TAIWAN – Taiwan and Canada Collaborate to Develop Asian Pneumonia Vaccine. TAIWAN – New Nano-drug to Cure Cancer Patients. TAIWAN – First Plant Medicine Center Operational in Taiwan. OTHER REGIONS — EUROPE – Treat HIV Patients Sooner. OTHER REGIONS — EUROPE – Studies Show Cancer Can be Passed on in the Womb. OTHER REGIONS — NORTH AMERICA – Enzyme May Hold Key to Long Life. OTHER REGIONS — NORTH AMERICA – United States Okays New Human Embryonic Stem Cell Lines for Research.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.743 | 0.578 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".