Can Competition and Patent Policies Avert the Antibiotic Crisis?
Bibliographic record
Abstract
Countries worldwide face an antibiotics health crisis. Resistant bacteria are rendering the current stock of antibiotics ineffective, and the pipeline of back-up drugs is running dry. Canada contributes more than its share to this global problem, with per-capita doses of antibiotics exceeding those of many of its peer countries in the Organisation for Economic Co-operation and Development. In a simple dynamic framework, we identify an efficient policy that reduces overuse and hence prolongs the lives of antibiotics. The policy includes (a) narrow patents to allow substitute drugs; (b) a flexible competition policy to permit limited coordination between competitors; (c) a regulatory standard on new substitute drugs to contain cross-resistance; and (d) a Pigouvian tax to reduce post-patent generic output. Complementing this patent-competition-regulatory-tax regime, additional incentives not dependent on sales, such as subsidies, prizes, and expedited regulatory reviews, may be necessary to promote development of new antibiotics.
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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 | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.009 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".