Bibliographic record
Abstract
以防风茎段为外植体，建立了组织培养再生体系，对防风试管苗玻璃化现象进行了研究。结果表明，与正常苗相比，玻璃化苗形态异常，组织含水量升高，叶绿素含量显著降低，酸性过氧化物同工酶活性减弱。6-BA浓度超过2．0mg／L、光照低于2000Ix、培养瓶内湿度大都极易导致防风试管苗的玻璃化，减少愈伤继代次数，增加培养基内琼脂和蔗糖浓度，可以降低玻璃化率。轻中度的玻璃化苗通过改变培养环境可以恢复正常。优化的防风再生体系为：以嫩茎段为外植体，继代3次左右的愈伤组织诱导出芽，芽继代增殖时，6-BA浓度采用1．0mg／L和0．5mg／L交替使用，培养光照3000～4000Ix。
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".