Bibliographic record
Abstract
US-based Alara Expands MetriScan™ Distribution into China. Varsal Sets Up Special Chemical Facility in China. Three Taiwan-based Biotech Firms to Jointly Set Up Vaccine Production Plant. Malaysia's Sirim Comes Up with Latest Ceramic Membrane Filter Technology. Fuzhou Branch of Rocky Mountain Launches New Product. SurroMed Expands Global Efforts with New Singapore Facility. Malaysia's Top Glove Expands into International Market. TNT Offers Bio-logistics Services in Singapore. Malaysia's ITAV Enters into Agreement with Eastgate and Biotech Asia. Thailand to Undertake Bio-diesel Fuel Project. Chugai Sells Business Rights of Medical Device Products to Kobayashi. Sumitomo in Joint Research with RIKEN on Pharmaceutical Development Based on Genome Information. Settlement of Investigation into Takeda Subsidiary's Marketing Practices of Prostate Cancer Drug. Novartis and Korea Yet to Agree on Leukemia Drug Price. VaxGen Receives Funding for Development of AIDS Vaccine in India, China and Africa. Fujisawa Launches Protopic Ointment in Canada. BresaGen and Image Guided Neurologics to Produce and Distribute Proprietary Cell Delivery Device. Progen Industries and BresaGen Sign Manufacturing Agreement. India's Kopran Gets Better Deal for Heart Drug Aten. Reliance Life Sciences to Scale Up Biotech. NZ's Delphic and Japan's Sysmex Announce Joint Venture. Australian Biotech Companies Get Another A$3.6 Million of Funding.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.390 | 0.334 |
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".