Distribution status of genetically modified soybeans from the United States and Canada to Japan in 2021 and 2022
Bibliographic record
Abstract
The number of authorized genetically modified (GM) soybeans has increased worldwide. In Japan, 34 GM soybeans containing single events and their stacked varieties have been approved as food. However, not all approved GM events are commercially cultivated or distributed. In this study, we evaluated domestically distributed samples from the United States (US) and Canada using 17 event-specific detection methods for GM soybeans. Identity-preserved (IP) soybean samples imported from the US and Canada, and non-IP samples from the US in 2021 and 2022 were analyzed. Four GM soybean events consisting of MON89788, A5547–127, MON87708, and DAS-44406 were detected in all lots in the non-IP samples. Furthermore, a single-kernel-based analysis was conducted to determine whether the detected GM soybean events are stacked. The results suggest that DAS-44406 is rapidly increasing, particularly as a single event among GM soybeans.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.000 |
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 teacher head, 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".