Bibliographic record
Abstract
Nuvilex acquires rights to use Austrianova's technology. Cancer Research Technology and Nuevolution collaborate to seek potential cancer drugs. JPT and Immudex enter partnership. BIOQuebec and Rx&D join forces to strengthen Canada's biotechnology sector. Helsinn and Chugai Pharma Marketing enter into agreement. Berg and Icahn School of Medicine at Mount Sinai announce R&D partnership for drug discovery and development. NovAliX and Kyowa Hakko Kirin to collaborate on Fragment-Based Drug Discovery Project. Biopharm GmbH enters into co-research agreement with Merck. Agilent Technologies to collaborate with University of Queensland on oral cancer research. PSR-Agility Orphan Drug Development wins ROAR Award for “Best Orphan Drug CRO”. Vietnam Ministry of Health and Quintiles collaborate to advance clinical trial excellence. Morflora's TraitUP™ wins Agrow Awards for the Best Novel Agricultural Biotechnology. Europe's most influential Biomarkers Congress. Manchester, to be held in UK February 2014.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.778 | 0.777 |
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".