Bibliographic record
Abstract
Biogen, in collaboration with Merck & Co, is developing late activator VLA-4 (alpha4beta1) integrin antagonists for the potential treatment of inflammatory conditions [271194]. Merck has begun phase II trials with the lead compound, BIO-1211, for asthma, Biogen is still conducting preclinical research for its designated indications [317648,319225]. Under the collaborative agreement, each company has worldwide rights to certain indications; Merck has rights for asthma and Biogen retains the rights to a number of smaller indications, including multiple sclerosis, inflammatory bowel disease, renal indications and most diseases in which the US patient population is less than 200,000 [271194]. VLA-4 inhibitors show anti-inflammatory action by inhibition of binding between adhesion factors and leukocytes, but with no loss of basophil function, and they have the advantage of specificity not seen with existing drugs [273417]. In February 1999, Lehman Brothers predicted 40% probabilities that the compound would reach the US and ex-US markets for the asthma indication (Merck), and launch onto these markets by 2003. Peak annual sales of US dollar 500 million (US) and US dollar 500 million (outside US) are predicted, both in 2010 [319225].
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.207 | 0.177 |
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".