Risk and safety considerations of genome edited crops: Expert opinion
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
It should come as no surprise that innovation is linked to uncertainty, especially when its effects are wide-ranging and can be difficult to quantify, as is the case for plant genome editing. Thus, scientific innovation should be conducted responsibly. Both regulators and companies seek ways to minimize inherent uncertainties regarding technological development. Risk assessment offers a basis to evaluate human, environmental and societal risks of fledging technologies and their application. This paper describes a range of potential issues related to the safety of genome editing as identified through a survey of a consortium of international experts in plant biotechnology. A key finding is that genome edited crops pose marginal risk to the economy, human health and the environment. Yet, regulations governing biotechnology and some advocacy groups tend to discourage the use of new gene technologies in agriculture. In effect, discussions concerning the risks associated with genome editing, and targeted breeding techniques generally, are driven more by socio-political factors than by scientific principles.
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.
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) | 0.000 | 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 it