International Divergence in Gene Patenting
Bibliographic record
Abstract
This review explores the recent divergence in international patent law relating to genes and associated subject matter. This divergence stems primarily from decisions of the highest courts in the United States and Australia on the eligibility of patent claims relating to the BRCA gene sequences. Patent offices, courts, and policy makers have struggled for many years to clearly articulate the bounds of patent claims on isolated and synthetic DNA and related products and processes, including methods for their use in genetic diagnostics. This review provides context to the current divergence by mapping key events in the gene patent journey from the early 1980s onward in five key jurisdictions: the United States, the member states of the European Patent Convention, Australia, Canada, and China. Early approaches to gene patenting had some commonalities across jurisdictions, which makes exploration of the recent divergence all the more interesting.There is insufficient empirical evidence to date to confidently predict the consequences of this recent divergence. However, it could potentially have a significant effect on local industry and on consumer access.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".