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Record W1410937293 · doi:10.5376/mpb.cn.2011.09.0045

冷诱导基因wcs19与小麦抗寒性关系研究

2011· article· zh· W1410937293 on OpenAlexvenueno aff
闫小燕

Bibliographic record

Venue分子植物育种 · 2011
Typearticle
Languagezh
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceBusiness

Abstract

fetched live from OpenAlex

低温伤害不仅会限制农作物的栽种范围,也会造成农作物减产。为了阐明冷诱导基因 wcs19 DNA序列与小麦幼苗抗寒性的关系,对来自于全国各个麦区及部分外引种质共233份小麦资源进行了幼苗抗寒性鉴定及 wcs19 基因STS检测,结果表明233份小麦品种间 wcs1 9基因在DNA水平上没有差异,其幼苗抗寒性可能与 wcs19 基因表达水平有关;进一步的序列分析表明, wcs19 基因DNA序列含有一段121 bp~122 bp的内含子,且该内含子序列中包含一个SNP,即,内含子序列+9 bp处G碱基的插入和缺失,此内含子及内含子中的SNP与幼苗抗寒性的关系还需进一步研究确定。

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.062
GPT teacher head0.221
Teacher spread0.159 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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