Study on the Regeneration System In Vitro of Different Type of Tamato Varieties
Bibliographic record
Abstract
The tomato variety Zhongshu No 4 and Zhongza 105 were selected as study objects.The cotyledons of tomato used as explants to investigate the regeneration system of different variety.The results demonstrated that there were obviously difference in the adventitious bud regeneration between common variety zhongshu No 4 and F1 variety zhongza 105.The best media for zhongshu No 4 was MS+6-BA 2.0 mg/L+IAA 0.2 mg/L,and the regeneration rate of normal bud was 33.3%;while for zhongza 105 the best media was MS+6-BA 1.0 mg/L+IAA 0.3 mg/L,and the regeneration rate of normal bud was 28.75.The best media for root regeneration was also different,and for zhongshu No 4 was MS+NAA 0.5 mg/L,while for zhongza 105 was MS+IAA 0.1 mg/L.The best selecting density for zhongshu No 4 was 5 mg/L hygromycin.
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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".