A Prelimary Study on the Transformation of Glycyrrhiza uralensis Genome DNA in Hetian Alfafa Implanted by Argon Ion
Bibliographic record
Abstract
The total DNA of Glycyrrhiza uralensis were randomly implanted into Medicago sativa(Hetian alfalfa) by argon ion,and induced obvious biological effects on the normal growing and cultivating of the alfalfa.The seed-setting rate of T 1 generation transgene alfalfa was only 11.66%,and normal seeds was 64.29%.The qualitative test of the natural products was carried out to the nine individual plant's roots and stems of T 1 generation transgene alfalfa with well developed seeds.The results of natural products detection showed that some saponins were contained in roots of the two individual plants.X-ray diffraction was used to scan medicinal transgenic alfalfa and the diffract gram map were obtained.The polysaccharide of control group and T 1 generation were extracted from roots and stems and determined.The results showed that after searching peaks-processing,the relative error was 0.67,the difference of crystal spacing was greater than the allowed error 0.02,which reflected that the micro-structure or component of the sample changed.The contents of polysaccharide in the transgenic alfalfa's stems and roots were 0.890%,4.815% respectively,compared with that of the common alfalfa's 1.064%,4.882%.These results reflected that the content of polysaccharide in transgene alfalfa decreased which implanted Glycyrrhiza uralensis total DNA.
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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 | 0.000 | 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) | 0.001 | 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 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".