Bibliographic record
Abstract
Na^＋/H^＋逆向运输蛋白在植物耐盐性方面起着极为重要的作用。根据在不同植物中功能相同的同源基因保守序列设计引物,通过RT-PCR方法从真盐生植物北美海蓬子（Salicornia Bigelovii Torr.）中克隆出包括有1683bp的完整编码区在内的2591bp（GenBank登陆号为DQ157454）的Na^＋/H^＋逆向运输蛋白基因（SbNHX1）cDNA序列。将该基因编码区序列构建到植物表达载体pVKH-35S-pA上,并通过农杆菌介导转化到模式植物拟南芥（Arabidopsis thaliana）中,得到T3代转入单基因种子。200mmol/L的NaCl胁迫培养结果显示,转基因拟南芥在200mmol/L的NaCl胁迫条件下生长状况好于野生型植株,植物表现有一定的耐盐性。
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".