The test data provision of USMCA: A potential to promote or negate the timely access to genetically engineered biologics?
Bibliographic record
Abstract
With the adoption of the World Trade Organization’s (WTO) Agreement on Trade-Related Aspects of Intellectual Property Rights (henceforth, TRIPS), the WTO members agreed to provide a minimum level of Intellectual Property (IP) protections to a broad range of subjects, including “undisclosed test or other data.” However, following the entry into force of TRIPS, some WTO members (particularly, developed countries) have concluded Free Trade Agreements (FTAs) that consist of TRIPS-plus provisions, which go beyond the minimum standard established under TRIPS. One of the agreements that represent such a trajectory is the newly renegotiated agreement between the U.S, Mexico and Canada. The agreement has been negotiated, among other issues, to replace the North American Free Trade Agreement (NAFTA). This trilateral agreement also changed the name NAFTA to the United States-Mexico-Canada (USMCA) Agreement or NAFTA 2.0. The new agreement contains rules that govern undisclosed test or other data (hereafter, test data), which biopharmaceutical companies submit to Health Regulatory Authorities for the purpose of obtaining the right to market biological medicines (hereafter, biologics). Drawing upon the aforementioned background, this article examines if and how USMCA’s test data rule contravenes the obligations of the USMCA Parties to fulfill, protect and respect the right to biologics, as contained under the International Covenant on Economic, Social and Cultural Rights (hereafter, ICESCR) and other international human rights instruments that cover the right to health. The first section provides an overview of USMCA, the second section addresses the nature of legal protection given to test data under the TRIPS Agreement, the third section is devoted to examining the nature of obligation as contained under USMCA’s rule on test data, the fourth discusses the legal basis of the right to biologics, while the fifth section assesses if and how the rule on test data impedes the USMCA Parties from realizing the right to biologics. The last section provides a conclusion.
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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 | 0.043 | 0.085 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.017 | 0.015 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.017 | 0.018 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".