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Record W2522325666 · doi:10.1021/cen-v081n020.p023

DRUG FIRMS REPORT MODERATE GROWTH

2003· article· en· W2522325666 on OpenAlexaboutno aff
ANN THAYER

Bibliographic record

VenueChemical & Engineering News · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicChemistry and Chemical Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCitationEarningsSocial mediaIconComputer scienceQuarter (Canadian coin)AltmetricsLibrary scienceInformation retrievalAdvertisingWorld Wide WebAccountingBusinessHistory

Abstract

fetched live from OpenAlex

SALES GROWTH FOR THE WORLD'S major pharmaceutical companies continued in early 2003 at a pace slightly above the average set the previous year. Combined first-quarter sales for 14 leading drug firms rose to $68.3 billion, up 6.5% compared with the first quarter of 2002. Half the companies reported healthy sales growth of between 9 and 21%, based in part on the strength of new products. Among the launches were Abbott Laboratories' arthritis drug Humira, Astra-Zeneca's oncology drug Iressa, Eli Lilly's Strattera for attention deficit hyperactivity disorder and Forteo for osteoporosis, and the anticholesterol drug Zetia from Merck and Schering-Plough. Johnson & Johnson continued its pattern of stable growth with sales up 12.3% to $9.82 billion and earnings up 137% to $2.09 billion. Separately, its three health care businesses had equally strong sales increases: Consumer health care grew 11.7%, pharmaceuticals were up 11.6%, and medical devices and diagnostics gained 13.7%. There ...

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.086
Threshold uncertainty score0.288

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.008
Science and technology studies0.0010.001
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0860.045

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 head0.004
GPT teacher head0.174
Teacher spread0.170 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2003
Admission routes1
Has abstractyes

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