Bibliographic record
Abstract
Cereta/Aegilops tauschii783是由CIMMYT引进的硬粒小麦/节节麦人工合成种,具有高抗条锈和高抗穗发芽等优良特性.本文选用小麦A、B、D染色体组的91对SSR引物将人工合成小麦Cereta/Aegilops tauschii783与绵阳26在分子水平上进行了比较分析,结果表明:91对引物中有88对引物能扩增出清晰条带;88对引物中除3对引物外,86对引物(96.59%)均能揭示出Cereta/Aegilops tauschii783与绵阳26之间的差异.人工合成小麦Cereta/Aegilops tauschii783与育成小麦品种遗传差异很大,是丰富现代小麦遗传多样性的优异基因源;利用人工合成小麦Cereta/Aegilops tauschii783与绵阳26构建SSR标记群体,可有效标记双亲优良基因.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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; both teacher heads agree on what is shown here.
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".