Injunctions in Patent Law: A Trans-Atlantic Dialog on Flexibility and Tailoring
Bibliographic record
Abstract
This chapter is from the edited volume "Injunctions in Patent Law: A Trans-Atlantic Dialogue on Flexibility and Tailoring" (Jorge Contreras & Martin Husovec, eds., Cambridge Univ. Press, forthcoming). It offers a unique analytical synthesis of eleven national and two regional/international descriptions of flexibilities in patent remedies authored by leading scholars in the field. This synthesis identifies a range of similarities and differences among jurisdictions, explains the principal features of these different legal systems, provides an analytical framework for comparing them, and offers observations about trends and the outlook for the future. The countries studied include Canada, Finland, France, Germany, Israel, Italy, Netherlands, Poland, the United Kingdom, and the United States, with additional commentary on the European Union and the World Trade Organization TRIPS Agreement.
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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 | 0.022 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.038 |
| Scholarly communication | 0.019 | 0.022 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.013 | 0.016 |
| Insufficient payload (model declined to judge) | 0.004 | 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".