Bibliographic record
Abstract
用珍汕9713／密阳46的RIL作图群体，以基本营养液培养为对照（CK），设2种Fe^2＋扣（160mg／L和240mg／L）作为胁迫处理，以处理20d的幼苗相对苗高（％）（处理苗高／对照苗高×100％）作为幼苗耐Fe^2＋胁迫程度的评价指标，进行2个环境的QTL联合检测分析。结果表明，RIL群体株系间对Fe^2＋胁迫反应差异较大，明显出现超亲分离。共检测到4个耐Fe^2＋胁迫的主效QTL，即qTFS-1-1、qTFS-3、qTFS-6和qTFS-9，分别位于第1、3、6和9染色体上，可解释14．96％的表型变异，它们与Fe^2＋胁迫浓度并无显著的GxE互作，表明这4个耐性基因在不同浓度Fe^2＋胁迫处理下，均可稳定表达。试验还检测到3对耐Fe扣胁迫的加性×加性上位性互作，共可解释7．16％的表型变异，涉及第1、2、7、9、12等5条染色体，该3对上付件互作与Fe^2＋不同浓唐胁迫处珲也无显著GxE互作。
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".