Bibliographic record
Abstract
单核苷酸多态性（single nucleotide polymorphism, SNP）广泛存在于甘薯基因组中，可用于甘薯遗传图谱的构建、关联分析和分子标记辅助选择等重要研究。本研究采用两种特异性扩增的方法：等位基因特异性PCR （AS-PCR）和四引物扩增受阻突变体系PCR （Tetra-primer ARMS-PCR），以及酶切扩增多态性序列（CAPS）酶切的方法，对甘薯徐781和徐薯18之间的2个SNP位点T2-32906（C/G）和T3-30695（G/A）进行检测，并通过比较3种检测方法的检测效果，找出快速高效的甘薯SNP分子标记检测方法。琼脂糖凝胶电泳结果显示：AS-PCR 的检测结果在2个样本之间出现假阳性而没有明显的差异条带，Tetra-primer ARMS-PCR和CAPS两种方法的检测结果在2个样本间呈现出明显的差异条带，并且能够根据条带数目区分等位基因是否纯合。三种方法的检测结果表明：相对于其他两种检测方法，Tetra-primer ARMS-PCR呈现出更理想的检测效果。另外通过成本比较，Tetra-primer ARMS-PCR成本明显低于CAPS。因此，Tetra-primer ARMS-PCR是一种可用于甘薯SNP位点快速、高效且费用低廉的分子检测方法。
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".