<i>In vitro</i> selection for disease resistance in plants - an alternative to genetic engineering
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
Abstract Plant cell culture provides a unique opportunity to manipulate morphogenesis in a controlled environment, thus providing crop improvement with a powerful, complementary tool. Since the late 1970s, the process of in vitro selection has been applied to several cell culture systems to generate mutants with useful agronomic traits such as disease resistance. However, the promise of genetic engineering technology and some early failures among the in vitro selected plants stifled research in this area. Recent advances in molecular characterization of stress-related responses and the emergence of sensitive molecular analytical tools have reinvigorated research on in vitro selection. This technology is easy to use, and not encumbered by intellectual property issues and social concerns currently inhibiting development of transgenic crops. Thus it is an attractive complement to existing crop improvement strategies. The sub-cellular mechanisms that lead to altered phenotypes after in vitro selection are discussed.
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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