United States-Mexico-Canada Agreement (<scp>usmca</scp>)—Sanitary and Phytosanitary Measures (SPS)—GMO corn
Bibliographic record
Abstract
On December 20, 2024, a Panel in Mexico -Measures Concerning Genetically Engineered Corn ruled against Mexico, regarding its ban on genetically engineered corn (GMO corn). 1 The United States invoked the panel under the United States-Mexico-Canada Agreement (USMCA). 2 In its Final Report, the Panel found Mexico's ban on GMO corn for human consumption was inconsistent with USMCA provisions on Sanitary and Phytosanitary Measures (SPS).SPSmeasures seek to protect human, animal, and plant life or health.Mexico claimed to have enacted the ban to protect biodiversity, "biocultural wealth, peasant communities, gastronomic heritage and human health" (para.55).In finding it unlawful, the Report breaks new ground on SPS rules, illuminating how trade obligations impact the ability to pursue domestic food regulations.* * * * The dispute arose from a presidential decree, issued on February 13, 2023 by the government of Mexico, to regulate the use of GMO corn, defined as corn with "a novel genetic combination, generated through the specific use of biotechnology techniques" 3 (para.52).The Decree identified three categories of the grain: corn for human consumption in tortillas and masa (dough); 4 GMO corn in industrial use destined for human food; 5 and GMO corn in animal feed.6 In Article 6, the Decree expressly banned GMOs in corn for human consumption, e.g., tortillas or masa, out of concern for human health and biodiversity.It did not ban GMO corn in animal feed or for industrial use.Instead the Decree described what must be done before Mexico enacts these prohibitions.Specifically, 1 Final Report: Mexico -Measures Concerning Genetically Engineered Corn, Panel Established Pursuant to Chapter 31, USMCA, MEX-USA-2023-31-01 (Dec.20, 2024) [hereinafter Final Report]. 2 See Agreement Between the United States of America, the United Mexican States, and Canada 7/1/20 Text,
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.050 | 0.007 |
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".