转逆境诱导型启动子SWPA2驱动Cu/ZnSOD和APX基因甘薯（Ipomoea batatas（L.）Lam.）耐盐性
Bibliographic record
Abstract
本研究以盐胁迫下逆境诱导型启动子SWPA2驱动转Cu/Zn SOD和APX基因甘薯叶片一些生理指标的变化研究转基因甘薯耐盐性。结果表明：无胁迫时,转基因甘薯叶的生理指标与未转基因植株无明显差异。相同胁迫条件下,转基因甘薯叶的超氧化物歧化酶（SOD）,抗坏血酸过氧化物酶（APX）,过氧化物酶（POD）,过氧化氢酶（CAT）活性均高于未转基因甘薯叶,尤以100mmol/LNaCl胁迫下差异最显著;转基因植株的根长也大于未转基因植株;转基因植株的叶绿素下降幅度和MDA含量则低于未转基因植株。这说明转基因甘薯具有一定的耐盐性。因此开发种植转基因耐盐甘薯对有效利用盐渍化土地和缓解能源危机有重大的意义。
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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 | 0.001 | 0.001 |
| 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 | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".