Bio-effectives of Different Prescription with NAA and N~6-BA on the Tissue Culture of Pinellia ternate(Thunb.) Breit.in Vitro
Bibliographic record
Abstract
For setting up the technological system of tissue culture of Pinellia ternate(Thunb.)Breit.,took corms as explants,MS as basic medium and added different compounds of NAA / N6-BA,to culture the cuttings of leafstalk. Results showed that: 1.The suitable compounds of media were MS +NAA 0.1-0.2/N6-BA 2.0-3.0,normally on such media explants dedifferentiation forming callus needed 7 d,forming embryoids 15 d,set up regenerated plantlets with shoot and adventitious root 30 d. multiple of proliferation reached to 6-10.2.If added only NAA or N6-BA to MS,the cuttings may forming callus,but it was difficult to re-differentiating. 3.If MS added low concentration of NAA(0.1)and paired up with high concentration of N6-BA (4.0) would induce the embriods and regenerated plantlets de-differentiating and formed callus again. But raised the concentration of NAA,such appearance would be put off.
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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".