Bibliographic record
Abstract
AstraZeneca is developing ZD-1839, an inhibitor of epidermal growth factor receptor 1 (EGFR1) tyrosine kinase, for potential treatment of cancers which overexpress EGF receptors, including non-small cell lung cancer (NSCLC) and pancreatic cancer [196279], [270898]. Phase III studies had started by August 2000 [349551], [350295], [353050], [377656], with first results being expected at the 2001 meetings of the American Association for Cancer Research (AACR) and the American Society for Clinical Oncology (ASCO). The US FDA has issued ZD-1839 with Fast Track status [350295], [353050]. In September 2000, the company expected global NDA filing to take place at the end of 2001, with launch in the next four to five years [383469]. In January 1999, ABN Amro predicted sales of US $25 million in 2004 rising to $82 million in 2005 [316250]. In March 1999, Lehman Brothers predicted a 30% probability that the drug would reach worldwide markets and be launched onto the market in 2004 [336599]. In June 2000, Deutsche Bank predicted sales of US $8 million in 2002, rising to $100 million in 2003 [374500]. In September 2000, analysts Merrill Lynch predicted a launch in 2002 with sales estimated at UK 50 million pounds, rising to 360 million pounds in 2004, while in December 2000, the analysts predicted a filing date in the fourth quarter of 2001 [383742], [396280]. Also in December 2000, Lehman Brothers predicted a filing date late in 2001, and a possible Fast Track review. They also estimated peak sales of US $1 billion [394606].
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.134 | 0.080 |
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".