Bibliographic record
Abstract
Recent litigation over genetically modified corn reveals an increasing imbalance between the property rights of genetic seed manufacturers and the rights of individual farmers. Common-law property doctrines and traditional patent law fail to protect farmers leaving them exposed to both potential genetic contamination of their crops and costly patent infringement liability. This Note proposes a simple yet effective solution-Notice. Requiring patent holders to provide notice to alleged infringing farmers sufficient to enable the farmer to cease infringement balances the rights of both the patent holder and the farmer. Litigation in both the United States and Canada regarding gentically modified corn stands boldly as an example for the problems and failed solutions in this arena. This proposal, however, can be applied broadly to any patent which can duplicate through self-replication. Finally, this Note suggests that because this solution lies within the Patent Act and not through the creation of additional equitable doctrines it is likely to be supported by the Federal Circuit.
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 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 | 0.013 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.023 |
| Scholarly communication | 0.011 | 0.019 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.020 | 0.013 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".