水稻窄叶突变体nal7（t）的遗传分析与基因定位
Bibliographic record
Abstract
本研究以恢复系缙恢10号为试验材料,经过EMS诱变,对水稻叶突变进行了研究。结果表明,群体中发现一个窄叶突变体,表现为叶片变窄、节间变细、结实率降低等一系列突变表型。成熟期的功能叶片宽度为野生型的74.69%,倒一、二、三节的宽度分别为野生型的45.10%、57.38%、74.63%,总叶脉数为野生型的67.36%。遗传分析表明该突变性状受一对隐性核基因控制,利用SSR标记将其定位在第3染色体长臂RM14379和RM14427之间,遗传距离分别为2.1cM和3.0cM。因与nal7位于相同的染色体区段,暂命名为nal7（t）。
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".