Bibliographic record
Abstract
The NHS spends over pound10 billion each year on medicines. The use of generic (patent-expired) medicines rather than branded equivalents has a key role in containing this expenditure and ensuring best value for money. On average, 4 years after the patent of a branded medicine has expired in the UK, generic equivalents will account for around half of the drug's market and cost about a quarter as much as the original brand. This represents a potentially large loss of income and, therefore, a major concern for companies that market branded products. Consequently, many use a long-term strategy known as 'lifecycle management' to minimise loss and to maximise returns from such products. This encompasses prioritising products for development, forming strategic alliances with other companies to share resourses, and utilising legal processes to protect products. One part of this strategy is the development and intensive marketing of new formulations or derivatives of existing medicines nearing the end of their patent life. Here we highlight some key examples of the impact the marketing of such products can have on patients, prescribers and the NHS.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.044 | 0.029 |
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".