Bibliographic record
Abstract
TA克隆构建含MOC1基因cDNA片段的重组质粒，作为TaqMan定量检测水稻分蘖基因MOC1 mRNA的标准品，建立了检测方法。采用RT—PCR。的方法，从水稻分蘖芽总RNA中逆转录扩增总cDNA，PCR扩增MOC1基因中设计的目的片段，将纯化的目的片段与pMD19-T Simple载体连接，转化宿主菌JM-109，提取重组质粒DNA，PCR鉴定并测序分析。纯化质粒并检测260nm吸光值，确定重组质粒原液的拷贝浓度并以此制备荧光定量PCR梯度浓度标准品。对重组质粒进行实时荧光定量PCR实验。建立了MOC1基因mRNA表达实时荧光定量PCR检测方法，特异性好，检测灵敏度达10^2拷贝，线性范围为10^2-10^7拷贝，阈值循环数与PCR体系中起始模板量的对数值之间有着良好的线性关系（r=0．999），扩增效率高（E=92．8％）。成功建立了MOCI基因实时荧光PCR定量标准品，且TaqMan荧光定量RT—PCR的方法可对水稻分蘖基因MOC1 mRNA的表达进行准确定量。
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 0.009 |
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".