Bibliographic record
Abstract
In April 2001, Aventis and Introgen signed a letter of intent to restructure their collaboration arrangement, giving Introgen responsibility for the worldwide development of all p53 programs under the existing collaboration and obtain exclusive worldwide commercial rights to p53-based gene therapy products, including INGN-201. In February 2001, Introgen was awarded US-06194191 for the commercial production of adenovirus vectors. In November 2000, the company and the University of Texas System were issued with US-06143290, entitled 'Recombinant p53 adenovirus methods and compositions', further solidifying the company's current p53 patent portfolio. In June 2000, the University of Texas System was awarded US-06069134, entitled, 'Methods and compositions comprising DNA damaging agents and p53.' This is the second US patent to be issued that is equivalent to WO-09528948. In May 1998, US-05747469, entitled 'Methods and compositions comprising DNA damaging agents and p53', was awarded to the Board of Regents of the University of Texas. This patent covers the use of the p53 gene in combination with chemotherapeutic agents, radiation therapies or other agents, which damage the DNA of cancer cells. It is one of several intellectual properties licensed to Introgen through an agreement with the MD Anderson Cancer Center.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.253 | 0.142 |
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".