The Optimal Conditions of Transgenetic System of Lettuce Against Dental Caries
Bibliographic record
Abstract
Objective:To obtain optimal conditions of lettuce transgenetic system,which could provide the condition for the further transformation study of transgenic plant expression vector against dental caries.Method:By using the six different varieties lettuce as explants,the technology of plant regeneration was studied.Several factors such as bud ratio,hormone concentration and the antibiotic selection pressure and so on,were investigated to optimize the regeneration system in vitro.Result:The experimental results showed that compared with six different varieties of lettuce,The seed of Yi Dali lettuce sprout fastest and its bud ratio is the highest.It is shown that the best optimal conditions is that the 3-4 day old lettuce plant cotyledon grew on the 1/2 MS+0.05 mg/L NAA+0.1 mg/L 6-BA medium;It was optional to choice 50 mg/L paromomycin as the antibiotic selection pressure.Conclusion:The conditions of lettuce transgenetic system,which should provide to transformation of transgenic plant expression vector against dental caries,were successfully constructed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".