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Record W2418614574

ZD-1839 (AstraZeneca).

2001· article· en· W2418614574 on OpenAlexaboutno aff
Philip Norman

Bibliographic record

VenuePubMed · 2001
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicChemical Reactions and Isotopes
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)MedicineGeography
DOInot available

Abstract

fetched live from OpenAlex

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].

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.176
GPT teacher head0.411
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2001
Admission routes1
Has abstractyes

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