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Record W295258069

甘肃小麦部分种质高分子量麦谷蛋白亚基(HMWGS)遗传变异分析

2009· article· zh· W295258069 on OpenAlexvenueno aff
王红梅, 厚毅清, 张艳萍, 裴怀弟, 陈玉梁

Bibliographic record

Venue分子植物育种 · 2009
Typearticle
Languagezh
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial metabolism and enzyme function
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

应用十二烷基磺酸钠——聚丙烯酰胺凝胶电泳(SDS-PAGE)方法,分析了372份甘肃小麦种质的高分子量麦谷蛋白亚基(high molecular weight glutenin subunit,HMWGS)组成,以了解甘肃省小麦种质的遗传变异。研究表明,供试的甘肃省小麦种质可检测到20种HMW亚基变异类型和36种HMW亚基组合类型。地方品种的HMW亚基组合类型较少,而且以Null、7+8和2+12模式为主,育成品种的HMW亚基变异类型比地方品种丰富,以1、7+8和2+12三种变异类型的出现频率为最高。供试材料HMW-GS的品质评分在4~12分之间,平均得分为7.0,所筛选出的一批含优质亚基组合的种质可供育种工作进一步利用。

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.006
GPT teacher head0.220
Teacher spread0.213 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2009
Admission routes1
Has abstractyes

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