A Preliminary Study on Somatic Cell Embryogenesis of <i>Quercus mongolica</i>
Bibliographic record
Abstract
In order to establish a callus induction and somatic embryogenesis system of Quercus mongolica , and provide an effective culture system for molecular mechanism research of somatic embryogenesis, the leaves of annual seedlings of Quercus mongolica were used as explants to study the main influencing factors of callus induction and somatic embryogenesis. The results show that the best way to disinfect the leaves was as follows: 75% alcohol 30 s + 0.1% HgCl 2 4 min; The best medium combination for callus induction is: MS+0.5 mg/L 2,4-D+0.5 mg/L 6-BA, the induction rate is 96.7%; The best medium combination for somatic embryogenesis was MS + 0.1 mg/L 2,4-D + 1 mg/L 6-BA, the induction rate was 58.0%. In this study, the best way of callus induction from Quercus mongolica leaves was selected and spherical embryos were induced, which laid a foundation for further research on the establishment of somatic embryogenesis system of Quercus mongolica.
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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".