Bibliographic record
Abstract
本研究采用ISSR标记技术,从公开发表的文献中选取多态性丰富,稳定性好,重复性高的12条IS-SR引物对马铃薯品种‘转心乌’及其100个实生个体的遗传变异性进行研究。研究结果表明,12条引物共检测到77条带,其中每条引物检测到5～7条带,平均每个位点的等位基因变异数为6.4条;多态性条带数为43条,多态性比例为55.84%。供试材料间的遗传相似系数的变异范围介于0.78～0.96之间,在0.785处可将所有供试材料划分为3大类。UPGMA聚类分析结果表明,100个材料与母株相比,虽然遗传相似性很高,亲缘关系较近,但均有不同程度的变异,没有1个材料与母株在基因型上表现完全相同;实生群体内在分子水平上也没有检测到完全一致的两个个体,这表明要利用实生群体获得完全一致的群体有相当的难度。该结果也表明利用实生种子保存种质,不失为保存马铃薯遗传多样性的有效方法。
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.007 |
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".